Import Libraries
from google.colab import drive
drive.mount('/content/drive')
Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount("/content/drive", force_remount=True).
import os
import cv2
import numpy as np
import pandas as pd
import tensorflow as tf
import seaborn as sns
import matplotlib.pyplot as plt
import pathlib
import PIL
import PIL.Image
import itertools
from scipy.ndimage.filters import gaussian_filter
from scipy.signal import convolve2d
from sklearn.preprocessing import LabelBinarizer
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn.metrics import confusion_matrix
from glob import glob
from tensorflow.keras import layers
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D, GlobalMaxPooling2D
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping
from keras.utils.np_utils import to_categorical
from tensorflow.keras.preprocessing.image import ImageDataGenerator
%matplotlib inline
print(tf.__version__)
2.4.1
Load Data
path = '/content/drive/MyDrive/train/*/*.png'
files = glob(path)
num = len(files)
j = 1
trainImg = []
trainLabel = []
Reshape Data
for img in files:
print(str(j) + '/' + str(num), end='\r')
trainImg.append(cv2.resize(cv2.imread(img), (128, 128)))
trainLabel.append(img.split('/')[-2])
j += 1
trainImg = np.asarray(trainImg)
trainLabel = pd.DataFrame(trainLabel)
Print Shape Of Data
print('Images Shape:', trainImg.shape)
print('Labels Shape:', trainLabel.shape)
print(trainImg.shape[0], 'Image Samples')
Images Shape: (4753, 128, 128, 3) Labels Shape: (4753, 1) 4753 Image Samples
dataset = r'/content/drive/MyDrive/train'
raw_data_dir = pathlib.Path(dataset)
dataset_ds = tf.keras.preprocessing.image_dataset_from_directory(dataset, seed = 42)
Found 4753 files belonging to 12 classes.
class_names = dataset_ds.class_names
for i in class_names:
print(i)
Black-grass Charlock Cleavers Common Chickweed Common wheat Fat Hen Loose Silky-bent Maize Scentless Mayweed Shepherds Purse Small-flowered Cranesbill Sugar beet
label_dict = {
'Black-grass': 0,
'Charlock': 1,
'Cleavers': 2,
'Common Chickweed': 3,
'Common wheat': 4,
'Fat Hen': 5,
'Loose Silky-bent': 6,
'Maize': 7,
'Scentless Mayweed': 8,
'Shepherds Purse': 9,
'Small-flowered Cranesbill': 10,
'Sugar beet': 11
}
Visualize Images In Dataset
print('An assortment of seedling images:')
plt.figure(figsize=(18, 10))
for images, labels in dataset_ds.take(1):
for i in range(24):
ax = plt.subplot(4, 6, i + 1)
plt.imshow(images[i].numpy().astype("uint8"))
plt.title(class_names[labels[i]])
plt.axis("off")
An assortment of seedling images:
black_grass = list(raw_data_dir.glob('Black-grass/*'))
charlock = list(raw_data_dir.glob('Charlock/*'))
cleavers = list(raw_data_dir.glob('Cleavers/*'))
common_chickweed = list(raw_data_dir.glob('Common Chickweed/*'))
common_wheat = list(raw_data_dir.glob('Common wheat/*'))
fat_hen = list(raw_data_dir.glob('Fat Hen/*'))
loose_silky_bent = list(raw_data_dir.glob('Loose Silky-bent/*'))
maize = list(raw_data_dir.glob('Maize/*'))
scentless_mayweed = list(raw_data_dir.glob('Scentless Mayweed/*'))
shepherds_purse = list(raw_data_dir.glob('Shepherds Purse/*'))
small_flowered_cranesbill = list(raw_data_dir.glob('Small-flowered Cranesbill/*'))
sugar_beet = list(raw_data_dir.glob('Sugar beet/*'))
print('Black-Grass:')
PIL.Image.open(str(black_grass[0]))
Black-Grass:
print('Charlock:')
PIL.Image.open(str(charlock[0]))
Charlock:
print('Cleavers:')
PIL.Image.open(str(cleavers[0]))
Cleavers:
print('Common Chickweed:')
PIL.Image.open(str(common_chickweed[0]))
Common Chickweed:
print('Common Wheat:')
PIL.Image.open(str(common_wheat[0]))
Common Wheat:
print('Fat Hen:')
PIL.Image.open(str(fat_hen[0]))
Fat Hen:
print('Loose Silky-Bent:')
PIL.Image.open(str(loose_silky_bent[0]))
Loose Silky-Bent:
print('Maize:')
PIL.Image.open(str(maize[0]))
Maize:
print('Scentless Mayweed:')
PIL.Image.open(str(scentless_mayweed[0]))
Scentless Mayweed:
print('Shepherds Purse:')
PIL.Image.open(str(shepherds_purse[0]))
Shepherds Purse:
print('Small-Flowered Cranesbill:')
PIL.Image.open(str(small_flowered_cranesbill[0]))
Small-Flowered Cranesbill:
print('Sugar Beet:')
PIL.Image.open(str(sugar_beet[0]))
Sugar Beet:
Pre-Processing: Normalization
norm_trainImg = trainImg/255
trainImg
array([[[[ 48, 64, 80],
[ 44, 60, 78],
[ 42, 58, 75],
...,
[ 68, 77, 81],
[ 68, 76, 81],
[ 68, 76, 82]],
[[ 43, 59, 77],
[ 41, 57, 76],
[ 40, 56, 73],
...,
[ 74, 80, 86],
[ 69, 77, 83],
[ 67, 75, 83]],
[[ 35, 51, 72],
[ 37, 51, 71],
[ 41, 54, 73],
...,
[ 72, 80, 88],
[ 68, 78, 87],
[ 64, 75, 87]],
...,
[[ 28, 39, 54],
[ 32, 45, 60],
[ 31, 47, 61],
...,
[ 42, 48, 59],
[ 36, 42, 54],
[ 37, 42, 55]],
[[ 10, 19, 38],
[ 19, 31, 47],
[ 20, 37, 51],
...,
[ 52, 58, 70],
[ 49, 53, 66],
[ 30, 33, 50]],
[[ 1, 5, 26],
[ 5, 16, 34],
[ 9, 27, 40],
...,
[ 47, 53, 66],
[ 50, 54, 69],
[ 31, 33, 53]]],
[[[ 38, 59, 85],
[ 45, 66, 91],
[ 37, 66, 90],
...,
[ 93, 92, 94],
[ 94, 89, 91],
[ 94, 91, 94]],
[[ 50, 70, 93],
[ 55, 79, 101],
[ 37, 62, 88],
...,
[163, 158, 156],
[165, 157, 157],
[164, 158, 155]],
[[ 42, 64, 89],
[ 37, 61, 87],
[ 44, 64, 90],
...,
[173, 167, 164],
[173, 164, 164],
[172, 166, 162]],
...,
[[ 48, 64, 78],
[ 42, 63, 83],
[ 6, 36, 61],
...,
[170, 163, 163],
[170, 164, 161],
[171, 164, 161]],
[[ 50, 75, 100],
[ 49, 80, 111],
[ 42, 77, 110],
...,
[ 92, 88, 94],
[ 91, 89, 92],
[ 91, 88, 88]],
[[ 35, 68, 100],
[ 43, 75, 104],
[ 46, 78, 110],
...,
[ 85, 82, 86],
[ 85, 80, 86],
[ 86, 84, 82]]],
[[[ 50, 53, 58],
[ 70, 70, 78],
[123, 126, 128],
...,
[186, 182, 182],
[192, 185, 186],
[187, 181, 181]],
[[ 45, 49, 50],
[ 54, 56, 60],
[ 63, 66, 75],
...,
[200, 196, 195],
[196, 196, 195],
[199, 198, 197]],
[[ 47, 49, 52],
[ 44, 46, 52],
[ 49, 52, 57],
...,
[ 90, 93, 96],
[ 89, 90, 94],
[ 90, 92, 98]],
...,
[[ 88, 85, 89],
[ 92, 90, 91],
[ 90, 87, 91],
...,
[ 57, 71, 84],
[ 60, 71, 85],
[ 50, 64, 76]],
[[ 93, 90, 92],
[ 91, 87, 89],
[ 85, 84, 86],
...,
[ 58, 69, 86],
[ 60, 67, 79],
[ 67, 76, 88]],
[[ 89, 86, 85],
[ 83, 81, 84],
[ 78, 75, 78],
...,
[ 62, 73, 86],
[ 50, 59, 75],
[ 57, 63, 77]]],
...,
[[[ 64, 83, 105],
[ 68, 85, 104],
[ 84, 97, 111],
...,
[ 32, 82, 67],
[ 33, 82, 66],
[ 32, 84, 68]],
[[ 63, 83, 104],
[ 68, 84, 103],
[ 80, 93, 110],
...,
[ 27, 83, 69],
[ 30, 86, 72],
[ 32, 90, 74]],
[[ 45, 64, 86],
[ 69, 84, 100],
[ 82, 95, 108],
...,
[ 27, 94, 80],
[ 28, 94, 82],
[ 28, 93, 80]],
...,
[[ 89, 95, 103],
[ 89, 96, 102],
[ 91, 97, 103],
...,
[ 88, 92, 95],
[ 89, 93, 96],
[ 84, 88, 92]],
[[ 92, 97, 104],
[ 96, 100, 107],
[ 94, 98, 106],
...,
[ 96, 101, 102],
[ 92, 97, 97],
[ 93, 98, 100]],
[[ 96, 101, 107],
[ 98, 101, 108],
[ 99, 103, 108],
...,
[ 77, 81, 87],
[ 79, 83, 90],
[ 87, 88, 92]]],
[[[116, 121, 121],
[115, 120, 120],
[117, 117, 122],
...,
[ 64, 64, 70],
[ 67, 68, 75],
[ 67, 69, 73]],
[[ 80, 83, 94],
[118, 121, 122],
[119, 122, 126],
...,
[ 66, 66, 71],
[ 69, 68, 71],
[ 65, 66, 69]],
[[ 75, 74, 78],
[ 73, 77, 84],
[110, 116, 116],
...,
[ 65, 64, 73],
[ 65, 65, 67],
[ 64, 64, 68]],
...,
[[173, 172, 172],
[178, 178, 179],
[184, 184, 185],
...,
[ 75, 92, 114],
[ 72, 88, 103],
[ 72, 90, 105]],
[[171, 170, 172],
[179, 180, 182],
[182, 182, 182],
...,
[101, 121, 141],
[ 74, 87, 107],
[ 72, 84, 100]],
[[171, 173, 174],
[177, 178, 179],
[182, 180, 180],
...,
[104, 122, 135],
[ 68, 75, 95],
[ 42, 50, 72]]],
[[[ 70, 73, 74],
[ 71, 75, 77],
[ 71, 75, 77],
...,
[201, 198, 199],
[203, 199, 201],
[200, 197, 198]],
[[ 70, 74, 75],
[ 75, 78, 82],
[ 72, 80, 80],
...,
[199, 196, 197],
[205, 200, 202],
[205, 202, 200]],
[[ 69, 74, 75],
[ 73, 78, 80],
[ 74, 79, 82],
...,
[199, 197, 199],
[197, 193, 195],
[198, 190, 195]],
...,
[[181, 180, 184],
[208, 203, 204],
[213, 210, 211],
...,
[ 33, 47, 66],
[ 43, 61, 82],
[ 30, 32, 48]],
[[184, 180, 187],
[206, 203, 205],
[211, 206, 207],
...,
[ 29, 55, 81],
[ 31, 54, 79],
[ 18, 24, 37]],
[[183, 181, 186],
[213, 212, 210],
[212, 207, 208],
...,
[ 41, 72, 95],
[ 31, 52, 73],
[ 27, 34, 49]]]], dtype=uint8)
norm_trainImg
array([[[[0.18823529, 0.25098039, 0.31372549],
[0.17254902, 0.23529412, 0.30588235],
[0.16470588, 0.22745098, 0.29411765],
...,
[0.26666667, 0.30196078, 0.31764706],
[0.26666667, 0.29803922, 0.31764706],
[0.26666667, 0.29803922, 0.32156863]],
[[0.16862745, 0.23137255, 0.30196078],
[0.16078431, 0.22352941, 0.29803922],
[0.15686275, 0.21960784, 0.28627451],
...,
[0.29019608, 0.31372549, 0.3372549 ],
[0.27058824, 0.30196078, 0.3254902 ],
[0.2627451 , 0.29411765, 0.3254902 ]],
[[0.1372549 , 0.2 , 0.28235294],
[0.14509804, 0.2 , 0.27843137],
[0.16078431, 0.21176471, 0.28627451],
...,
[0.28235294, 0.31372549, 0.34509804],
[0.26666667, 0.30588235, 0.34117647],
[0.25098039, 0.29411765, 0.34117647]],
...,
[[0.10980392, 0.15294118, 0.21176471],
[0.1254902 , 0.17647059, 0.23529412],
[0.12156863, 0.18431373, 0.23921569],
...,
[0.16470588, 0.18823529, 0.23137255],
[0.14117647, 0.16470588, 0.21176471],
[0.14509804, 0.16470588, 0.21568627]],
[[0.03921569, 0.0745098 , 0.14901961],
[0.0745098 , 0.12156863, 0.18431373],
[0.07843137, 0.14509804, 0.2 ],
...,
[0.20392157, 0.22745098, 0.2745098 ],
[0.19215686, 0.20784314, 0.25882353],
[0.11764706, 0.12941176, 0.19607843]],
[[0.00392157, 0.01960784, 0.10196078],
[0.01960784, 0.0627451 , 0.13333333],
[0.03529412, 0.10588235, 0.15686275],
...,
[0.18431373, 0.20784314, 0.25882353],
[0.19607843, 0.21176471, 0.27058824],
[0.12156863, 0.12941176, 0.20784314]]],
[[[0.14901961, 0.23137255, 0.33333333],
[0.17647059, 0.25882353, 0.35686275],
[0.14509804, 0.25882353, 0.35294118],
...,
[0.36470588, 0.36078431, 0.36862745],
[0.36862745, 0.34901961, 0.35686275],
[0.36862745, 0.35686275, 0.36862745]],
[[0.19607843, 0.2745098 , 0.36470588],
[0.21568627, 0.30980392, 0.39607843],
[0.14509804, 0.24313725, 0.34509804],
...,
[0.63921569, 0.61960784, 0.61176471],
[0.64705882, 0.61568627, 0.61568627],
[0.64313725, 0.61960784, 0.60784314]],
[[0.16470588, 0.25098039, 0.34901961],
[0.14509804, 0.23921569, 0.34117647],
[0.17254902, 0.25098039, 0.35294118],
...,
[0.67843137, 0.65490196, 0.64313725],
[0.67843137, 0.64313725, 0.64313725],
[0.6745098 , 0.65098039, 0.63529412]],
...,
[[0.18823529, 0.25098039, 0.30588235],
[0.16470588, 0.24705882, 0.3254902 ],
[0.02352941, 0.14117647, 0.23921569],
...,
[0.66666667, 0.63921569, 0.63921569],
[0.66666667, 0.64313725, 0.63137255],
[0.67058824, 0.64313725, 0.63137255]],
[[0.19607843, 0.29411765, 0.39215686],
[0.19215686, 0.31372549, 0.43529412],
[0.16470588, 0.30196078, 0.43137255],
...,
[0.36078431, 0.34509804, 0.36862745],
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[0.35686275, 0.34509804, 0.34509804]],
[[0.1372549 , 0.26666667, 0.39215686],
[0.16862745, 0.29411765, 0.40784314],
[0.18039216, 0.30588235, 0.43137255],
...,
[0.33333333, 0.32156863, 0.3372549 ],
[0.33333333, 0.31372549, 0.3372549 ],
[0.3372549 , 0.32941176, 0.32156863]]],
[[[0.19607843, 0.20784314, 0.22745098],
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...,
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[0.73333333, 0.70980392, 0.70980392]],
[[0.17647059, 0.19215686, 0.19607843],
[0.21176471, 0.21960784, 0.23529412],
[0.24705882, 0.25882353, 0.29411765],
...,
[0.78431373, 0.76862745, 0.76470588],
[0.76862745, 0.76862745, 0.76470588],
[0.78039216, 0.77647059, 0.77254902]],
[[0.18431373, 0.19215686, 0.20392157],
[0.17254902, 0.18039216, 0.20392157],
[0.19215686, 0.20392157, 0.22352941],
...,
[0.35294118, 0.36470588, 0.37647059],
[0.34901961, 0.35294118, 0.36862745],
[0.35294118, 0.36078431, 0.38431373]],
...,
[[0.34509804, 0.33333333, 0.34901961],
[0.36078431, 0.35294118, 0.35686275],
[0.35294118, 0.34117647, 0.35686275],
...,
[0.22352941, 0.27843137, 0.32941176],
[0.23529412, 0.27843137, 0.33333333],
[0.19607843, 0.25098039, 0.29803922]],
[[0.36470588, 0.35294118, 0.36078431],
[0.35686275, 0.34117647, 0.34901961],
[0.33333333, 0.32941176, 0.3372549 ],
...,
[0.22745098, 0.27058824, 0.3372549 ],
[0.23529412, 0.2627451 , 0.30980392],
[0.2627451 , 0.29803922, 0.34509804]],
[[0.34901961, 0.3372549 , 0.33333333],
[0.3254902 , 0.31764706, 0.32941176],
[0.30588235, 0.29411765, 0.30588235],
...,
[0.24313725, 0.28627451, 0.3372549 ],
[0.19607843, 0.23137255, 0.29411765],
[0.22352941, 0.24705882, 0.30196078]]],
...,
[[[0.25098039, 0.3254902 , 0.41176471],
[0.26666667, 0.33333333, 0.40784314],
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...,
[0.1254902 , 0.32156863, 0.2627451 ],
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[0.1254902 , 0.32941176, 0.26666667]],
[[0.24705882, 0.3254902 , 0.40784314],
[0.26666667, 0.32941176, 0.40392157],
[0.31372549, 0.36470588, 0.43137255],
...,
[0.10588235, 0.3254902 , 0.27058824],
[0.11764706, 0.3372549 , 0.28235294],
[0.1254902 , 0.35294118, 0.29019608]],
[[0.17647059, 0.25098039, 0.3372549 ],
[0.27058824, 0.32941176, 0.39215686],
[0.32156863, 0.37254902, 0.42352941],
...,
[0.10588235, 0.36862745, 0.31372549],
[0.10980392, 0.36862745, 0.32156863],
[0.10980392, 0.36470588, 0.31372549]],
...,
[[0.34901961, 0.37254902, 0.40392157],
[0.34901961, 0.37647059, 0.4 ],
[0.35686275, 0.38039216, 0.40392157],
...,
[0.34509804, 0.36078431, 0.37254902],
[0.34901961, 0.36470588, 0.37647059],
[0.32941176, 0.34509804, 0.36078431]],
[[0.36078431, 0.38039216, 0.40784314],
[0.37647059, 0.39215686, 0.41960784],
[0.36862745, 0.38431373, 0.41568627],
...,
[0.37647059, 0.39607843, 0.4 ],
[0.36078431, 0.38039216, 0.38039216],
[0.36470588, 0.38431373, 0.39215686]],
[[0.37647059, 0.39607843, 0.41960784],
[0.38431373, 0.39607843, 0.42352941],
[0.38823529, 0.40392157, 0.42352941],
...,
[0.30196078, 0.31764706, 0.34117647],
[0.30980392, 0.3254902 , 0.35294118],
[0.34117647, 0.34509804, 0.36078431]]],
[[[0.45490196, 0.4745098 , 0.4745098 ],
[0.45098039, 0.47058824, 0.47058824],
[0.45882353, 0.45882353, 0.47843137],
...,
[0.25098039, 0.25098039, 0.2745098 ],
[0.2627451 , 0.26666667, 0.29411765],
[0.2627451 , 0.27058824, 0.28627451]],
[[0.31372549, 0.3254902 , 0.36862745],
[0.4627451 , 0.4745098 , 0.47843137],
[0.46666667, 0.47843137, 0.49411765],
...,
[0.25882353, 0.25882353, 0.27843137],
[0.27058824, 0.26666667, 0.27843137],
[0.25490196, 0.25882353, 0.27058824]],
[[0.29411765, 0.29019608, 0.30588235],
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[0.43137255, 0.45490196, 0.45490196],
...,
[0.25490196, 0.25098039, 0.28627451],
[0.25490196, 0.25490196, 0.2627451 ],
[0.25098039, 0.25098039, 0.26666667]],
...,
[[0.67843137, 0.6745098 , 0.6745098 ],
[0.69803922, 0.69803922, 0.70196078],
[0.72156863, 0.72156863, 0.7254902 ],
...,
[0.29411765, 0.36078431, 0.44705882],
[0.28235294, 0.34509804, 0.40392157],
[0.28235294, 0.35294118, 0.41176471]],
[[0.67058824, 0.66666667, 0.6745098 ],
[0.70196078, 0.70588235, 0.71372549],
[0.71372549, 0.71372549, 0.71372549],
...,
[0.39607843, 0.4745098 , 0.55294118],
[0.29019608, 0.34117647, 0.41960784],
[0.28235294, 0.32941176, 0.39215686]],
[[0.67058824, 0.67843137, 0.68235294],
[0.69411765, 0.69803922, 0.70196078],
[0.71372549, 0.70588235, 0.70588235],
...,
[0.40784314, 0.47843137, 0.52941176],
[0.26666667, 0.29411765, 0.37254902],
[0.16470588, 0.19607843, 0.28235294]]],
[[[0.2745098 , 0.28627451, 0.29019608],
[0.27843137, 0.29411765, 0.30196078],
[0.27843137, 0.29411765, 0.30196078],
...,
[0.78823529, 0.77647059, 0.78039216],
[0.79607843, 0.78039216, 0.78823529],
[0.78431373, 0.77254902, 0.77647059]],
[[0.2745098 , 0.29019608, 0.29411765],
[0.29411765, 0.30588235, 0.32156863],
[0.28235294, 0.31372549, 0.31372549],
...,
[0.78039216, 0.76862745, 0.77254902],
[0.80392157, 0.78431373, 0.79215686],
[0.80392157, 0.79215686, 0.78431373]],
[[0.27058824, 0.29019608, 0.29411765],
[0.28627451, 0.30588235, 0.31372549],
[0.29019608, 0.30980392, 0.32156863],
...,
[0.78039216, 0.77254902, 0.78039216],
[0.77254902, 0.75686275, 0.76470588],
[0.77647059, 0.74509804, 0.76470588]],
...,
[[0.70980392, 0.70588235, 0.72156863],
[0.81568627, 0.79607843, 0.8 ],
[0.83529412, 0.82352941, 0.82745098],
...,
[0.12941176, 0.18431373, 0.25882353],
[0.16862745, 0.23921569, 0.32156863],
[0.11764706, 0.1254902 , 0.18823529]],
[[0.72156863, 0.70588235, 0.73333333],
[0.80784314, 0.79607843, 0.80392157],
[0.82745098, 0.80784314, 0.81176471],
...,
[0.11372549, 0.21568627, 0.31764706],
[0.12156863, 0.21176471, 0.30980392],
[0.07058824, 0.09411765, 0.14509804]],
[[0.71764706, 0.70980392, 0.72941176],
[0.83529412, 0.83137255, 0.82352941],
[0.83137255, 0.81176471, 0.81568627],
...,
[0.16078431, 0.28235294, 0.37254902],
[0.12156863, 0.20392157, 0.28627451],
[0.10588235, 0.13333333, 0.19215686]]]])
Pre-Processing: Gaussian Blurring
blurred_trainImg = gaussian_filter(norm_trainImg, sigma = .5)
Before/After
for i in range(0,4753, 395):
print(trainLabel[0][i])
plt.imshow(trainImg[i]);
plt.show()
print('Processed', trainLabel[0][i])
plt.imshow(blurred_trainImg[i]);
plt.show()
Loose Silky-bent
Processed Loose Silky-bent
Loose Silky-bent
Processed Loose Silky-bent
Common wheat
Processed Common wheat
Black-grass
Processed Black-grass
Sugar beet
Processed Sugar beet
Small-flowered Cranesbill
Processed Small-flowered Cranesbill
Fat Hen
Processed Fat Hen
Fat Hen
Processed Fat Hen
Common Chickweed
Processed Common Chickweed
Common Chickweed
Processed Common Chickweed
Scentless Mayweed
Processed Scentless Mayweed
Maize
Processed Maize
Charlock
Processed Charlock
Split Data
X_train, X_test, y_train, y_test = train_test_split(blurred_trainImg, trainLabel, test_size = .3, random_state = 42)
X_test, X_val, y_test, y_val = train_test_split(X_test, y_test, test_size = .5, random_state = 42)
print(X_train.shape)
print(X_val.shape)
print(X_test.shape)
(3327, 128, 128, 3) (713, 128, 128, 3) (713, 128, 128, 3)
print(y_train.shape)
print(y_val.shape)
print(y_test.shape)
(3327, 1) (713, 1) (713, 1)
Convert Labels
enc = LabelBinarizer()
y_train = enc.fit_transform(y_train)
y_val = enc.fit_transform(y_val)
y_test = enc.fit_transform(y_test)
print(y_train.shape)
print(y_val.shape)
print(y_test.shape)
(3327, 12) (713, 12) (713, 12)
print(y_train[0])
plt.imshow(X_train[0]);
[0 0 0 0 0 0 0 0 1 0 0 0]
Define Layers
num_classes = 12
model = tf.keras.Sequential([
layers.Conv2D(32, (5,5), padding='same', activation='relu'),
layers.BatchNormalization(),
layers.MaxPooling2D(2,2),
layers.Dropout(0.2),
layers.Conv2D(64, (5,5), padding='same', activation='relu'),
layers.MaxPooling2D(2,2),
layers.BatchNormalization(),
layers.Dropout(0.3),
layers.Conv2D(64, (5,5), padding='same', activation='relu'),
layers.MaxPooling2D(2,2),
layers.BatchNormalization(),
layers.MaxPooling2D(2,2),
layers.Dropout(0.2),
layers.Flatten(),
layers.Dense(128, activation='relu'),
layers.Dense(num_classes, activation = 'softmax')
])
Set Optimizer & Loss Function
model.compile(
optimizer='adam',
loss= 'categorical_crossentropy',
metrics=['accuracy'])
X_train = X_train.astype('float32')
X_test = X_test.astype('float32')
early_stopping = EarlyStopping(monitor = 'val_loss', min_delta = 0.001, patience = 10)
checkpoint_filepath = '/tmp/checkpoint'
model_checkpoint = ModelCheckpoint(
filepath = checkpoint_filepath,
monitor = 'accuracy',
verbose = 1,
save_best_only = True,
save_weights_only = True,
mode = 'auto',
save_freq = 1
)
Fit Model
history = model.fit(
X_train,
y_train,
batch_size= 32,
epochs= 40,
validation_data= (X_val, y_val),
shuffle= True,
verbose = 1,
callbacks = [early_stopping, model_checkpoint]
)
Epoch 1/40 1/104 [..............................] - ETA: 3:42 - loss: 0.2897 - accuracy: 0.8438 Epoch 00001: accuracy improved from -inf to 0.84375, saving model to /tmp/checkpoint 2/104 [..............................] - ETA: 3:44 - loss: 0.2371 - accuracy: 0.9062 Epoch 00001: accuracy improved from 0.84375 to 0.90625, saving model to /tmp/checkpoint 3/104 [..............................] - ETA: 3:41 - loss: 0.2089 - accuracy: 0.9271 Epoch 00001: accuracy improved from 0.90625 to 0.92708, saving model to /tmp/checkpoint 4/104 [>.............................] - ETA: 3:37 - loss: 0.1995 - accuracy: 0.9297 Epoch 00001: accuracy improved from 0.92708 to 0.92969, saving model to /tmp/checkpoint 5/104 [>.............................] - ETA: 3:35 - loss: 0.2651 - accuracy: 0.9125 Epoch 00001: accuracy did not improve from 0.92969 6/104 [>.............................] - ETA: 3:32 - loss: 0.2688 - accuracy: 0.9115 Epoch 00001: accuracy did not improve from 0.92969 7/104 [=>............................] - ETA: 3:30 - loss: 0.2623 - accuracy: 0.9107 Epoch 00001: accuracy did not improve from 0.92969 8/104 [=>............................] - ETA: 3:27 - loss: 0.2570 - accuracy: 0.9141 Epoch 00001: accuracy did not improve from 0.92969 9/104 [=>............................] - ETA: 3:24 - loss: 0.2401 - accuracy: 0.9201 Epoch 00001: accuracy did not improve from 0.92969 10/104 [=>............................] - ETA: 3:22 - loss: 0.2321 - accuracy: 0.9250 Epoch 00001: accuracy did not improve from 0.92969 11/104 [==>...........................] - ETA: 3:20 - loss: 0.2268 - accuracy: 0.9290 Epoch 00001: accuracy did not improve from 0.92969 12/104 [==>...........................] - ETA: 3:17 - loss: 0.2235 - accuracy: 0.9271 Epoch 00001: accuracy did not improve from 0.92969 13/104 [==>...........................] - ETA: 3:15 - loss: 0.2186 - accuracy: 0.9255 Epoch 00001: accuracy did not improve from 0.92969 14/104 [===>..........................] - ETA: 3:13 - loss: 0.2262 - accuracy: 0.9241 Epoch 00001: accuracy did not improve from 0.92969 15/104 [===>..........................] - ETA: 3:10 - loss: 0.2236 - accuracy: 0.9250 Epoch 00001: accuracy did not improve from 0.92969 16/104 [===>..........................] - ETA: 3:08 - loss: 0.2310 - accuracy: 0.9180 Epoch 00001: accuracy did not improve from 0.92969 17/104 [===>..........................] - ETA: 3:06 - loss: 0.2204 - accuracy: 0.9228 Epoch 00001: accuracy did not improve from 0.92969 18/104 [====>.........................] - ETA: 3:04 - loss: 0.2158 - accuracy: 0.9236 Epoch 00001: accuracy did not improve from 0.92969 19/104 [====>.........................] - ETA: 3:02 - loss: 0.2081 - accuracy: 0.9276 Epoch 00001: accuracy did not improve from 0.92969 20/104 [====>.........................] - ETA: 3:00 - loss: 0.2040 - accuracy: 0.9312 Epoch 00001: accuracy improved from 0.92969 to 0.93125, saving model to /tmp/checkpoint 21/104 [=====>........................] - ETA: 2:57 - loss: 0.2001 - accuracy: 0.9330 Epoch 00001: accuracy improved from 0.93125 to 0.93304, saving model to /tmp/checkpoint 22/104 [=====>........................] - ETA: 2:55 - loss: 0.2024 - accuracy: 0.9332 Epoch 00001: accuracy improved from 0.93304 to 0.93324, saving model to /tmp/checkpoint 23/104 [=====>........................] - ETA: 2:53 - loss: 0.1962 - accuracy: 0.9361 Epoch 00001: accuracy improved from 0.93324 to 0.93614, saving model to /tmp/checkpoint 24/104 [=====>........................] - ETA: 2:51 - loss: 0.2010 - accuracy: 0.9349 Epoch 00001: accuracy did not improve from 0.93614 25/104 [======>.......................] - ETA: 2:49 - loss: 0.2033 - accuracy: 0.9350 Epoch 00001: accuracy did not improve from 0.93614 26/104 [======>.......................] - ETA: 2:47 - loss: 0.2126 - accuracy: 0.9303 Epoch 00001: accuracy did not improve from 0.93614 27/104 [======>.......................] - ETA: 2:45 - loss: 0.2132 - accuracy: 0.9306 Epoch 00001: accuracy did not improve from 0.93614 28/104 [=======>......................] - ETA: 2:43 - loss: 0.2108 - accuracy: 0.9319 Epoch 00001: accuracy did not improve from 0.93614 29/104 [=======>......................] - ETA: 2:40 - loss: 0.2137 - accuracy: 0.9310 Epoch 00001: accuracy did not improve from 0.93614 30/104 [=======>......................] - ETA: 2:38 - loss: 0.2133 - accuracy: 0.9312 Epoch 00001: accuracy did not improve from 0.93614 31/104 [=======>......................] - ETA: 2:36 - loss: 0.2133 - accuracy: 0.9304 Epoch 00001: accuracy did not improve from 0.93614 32/104 [========>.....................] - ETA: 2:34 - loss: 0.2127 - accuracy: 0.9316 Epoch 00001: accuracy did not improve from 0.93614 33/104 [========>.....................] - ETA: 2:32 - loss: 0.2134 - accuracy: 0.9309 Epoch 00001: accuracy did not improve from 0.93614 34/104 [========>.....................] - ETA: 2:30 - loss: 0.2147 - accuracy: 0.9301 Epoch 00001: accuracy did not improve from 0.93614 35/104 [=========>....................] - ETA: 2:27 - loss: 0.2165 - accuracy: 0.9304 Epoch 00001: accuracy did not improve from 0.93614 36/104 [=========>....................] - ETA: 2:25 - loss: 0.2162 - accuracy: 0.9288 Epoch 00001: accuracy did not improve from 0.93614 37/104 [=========>....................] - ETA: 2:23 - loss: 0.2236 - accuracy: 0.9274 Epoch 00001: accuracy did not improve from 0.93614 38/104 [=========>....................] - ETA: 2:21 - loss: 0.2248 - accuracy: 0.9276 Epoch 00001: accuracy did not improve from 0.93614 39/104 [==========>...................] - ETA: 2:19 - loss: 0.2254 - accuracy: 0.9279 Epoch 00001: accuracy did not improve from 0.93614 40/104 [==========>...................] - ETA: 2:17 - loss: 0.2250 - accuracy: 0.9281 Epoch 00001: accuracy did not improve from 0.93614 41/104 [==========>...................] - ETA: 2:15 - loss: 0.2232 - accuracy: 0.9291 Epoch 00001: accuracy did not improve from 0.93614 42/104 [===========>..................] - ETA: 2:12 - loss: 0.2237 - accuracy: 0.9286 Epoch 00001: accuracy did not improve from 0.93614 43/104 [===========>..................] - ETA: 2:10 - loss: 0.2229 - accuracy: 0.9288 Epoch 00001: accuracy did not improve from 0.93614 44/104 [===========>..................] - ETA: 2:08 - loss: 0.2229 - accuracy: 0.9283 Epoch 00001: accuracy did not improve from 0.93614 45/104 [===========>..................] - ETA: 2:06 - loss: 0.2241 - accuracy: 0.9278 Epoch 00001: accuracy did not improve from 0.93614 46/104 [============>.................] - ETA: 2:04 - loss: 0.2236 - accuracy: 0.9287 Epoch 00001: accuracy did not improve from 0.93614 47/104 [============>.................] - ETA: 2:02 - loss: 0.2284 - accuracy: 0.9289 Epoch 00001: accuracy did not improve from 0.93614 48/104 [============>.................] - ETA: 1:59 - loss: 0.2266 - accuracy: 0.9297 Epoch 00001: accuracy did not improve from 0.93614 49/104 [=============>................] - ETA: 1:57 - loss: 0.2294 - accuracy: 0.9286 Epoch 00001: accuracy did not improve from 0.93614 50/104 [=============>................] - ETA: 1:55 - loss: 0.2278 - accuracy: 0.9287 Epoch 00001: accuracy did not improve from 0.93614 51/104 [=============>................] - ETA: 1:53 - loss: 0.2260 - accuracy: 0.9295 Epoch 00001: accuracy did not improve from 0.93614 52/104 [==============>...............] - ETA: 1:51 - loss: 0.2328 - accuracy: 0.9273 Epoch 00001: accuracy did not improve from 0.93614 53/104 [==============>...............] - ETA: 1:49 - loss: 0.2293 - accuracy: 0.9287 Epoch 00001: accuracy did not improve from 0.93614 54/104 [==============>...............] - ETA: 1:47 - loss: 0.2274 - accuracy: 0.9300 Epoch 00001: accuracy did not improve from 0.93614 55/104 [==============>...............] - ETA: 1:44 - loss: 0.2270 - accuracy: 0.9301 Epoch 00001: accuracy did not improve from 0.93614 56/104 [===============>..............] - ETA: 1:42 - loss: 0.2257 - accuracy: 0.9308 Epoch 00001: accuracy did not improve from 0.93614 57/104 [===============>..............] - ETA: 1:40 - loss: 0.2252 - accuracy: 0.9315 Epoch 00001: accuracy did not improve from 0.93614 58/104 [===============>..............] - ETA: 1:38 - loss: 0.2258 - accuracy: 0.9316 Epoch 00001: accuracy did not improve from 0.93614 59/104 [================>.............] - ETA: 1:36 - loss: 0.2246 - accuracy: 0.9322 Epoch 00001: accuracy did not improve from 0.93614 60/104 [================>.............] - ETA: 1:34 - loss: 0.2282 - accuracy: 0.9312 Epoch 00001: accuracy did not improve from 0.93614 61/104 [================>.............] - ETA: 1:32 - loss: 0.2298 - accuracy: 0.9298 Epoch 00001: accuracy did not improve from 0.93614 62/104 [================>.............] - ETA: 1:29 - loss: 0.2294 - accuracy: 0.9294 Epoch 00001: accuracy did not improve from 0.93614 63/104 [=================>............] - ETA: 1:27 - loss: 0.2277 - accuracy: 0.9301 Epoch 00001: accuracy did not improve from 0.93614 64/104 [=================>............] - ETA: 1:25 - loss: 0.2321 - accuracy: 0.9282 Epoch 00001: accuracy did not improve from 0.93614 65/104 [=================>............] - ETA: 1:23 - loss: 0.2341 - accuracy: 0.9269 Epoch 00001: accuracy did not improve from 0.93614 66/104 [==================>...........] - ETA: 1:21 - loss: 0.2333 - accuracy: 0.9266 Epoch 00001: accuracy did not improve from 0.93614 67/104 [==================>...........] - ETA: 1:19 - loss: 0.2320 - accuracy: 0.9268 Epoch 00001: accuracy did not improve from 0.93614 68/104 [==================>...........] - ETA: 1:17 - loss: 0.2305 - accuracy: 0.9274 Epoch 00001: accuracy did not improve from 0.93614 69/104 [==================>...........] - ETA: 1:14 - loss: 0.2313 - accuracy: 0.9275 Epoch 00001: accuracy did not improve from 0.93614 70/104 [===================>..........] - ETA: 1:12 - loss: 0.2328 - accuracy: 0.9281 Epoch 00001: accuracy did not improve from 0.93614 71/104 [===================>..........] - ETA: 1:10 - loss: 0.2363 - accuracy: 0.9261 Epoch 00001: accuracy did not improve from 0.93614 72/104 [===================>..........] - ETA: 1:08 - loss: 0.2350 - accuracy: 0.9271 Epoch 00001: accuracy did not improve from 0.93614 73/104 [====================>.........] - ETA: 1:06 - loss: 0.2333 - accuracy: 0.9277 Epoch 00001: accuracy did not improve from 0.93614 74/104 [====================>.........] - ETA: 1:04 - loss: 0.2324 - accuracy: 0.9278 Epoch 00001: accuracy did not improve from 0.93614 75/104 [====================>.........] - ETA: 1:02 - loss: 0.2344 - accuracy: 0.9267 Epoch 00001: accuracy did not improve from 0.93614 76/104 [====================>.........] - ETA: 59s - loss: 0.2333 - accuracy: 0.9272 Epoch 00001: accuracy did not improve from 0.93614 77/104 [=====================>........] - ETA: 57s - loss: 0.2343 - accuracy: 0.9269 Epoch 00001: accuracy did not improve from 0.93614 78/104 [=====================>........] - ETA: 55s - loss: 0.2356 - accuracy: 0.9255 Epoch 00001: accuracy did not improve from 0.93614 79/104 [=====================>........] - ETA: 53s - loss: 0.2351 - accuracy: 0.9248 Epoch 00001: accuracy did not improve from 0.93614 80/104 [======================>.......] - ETA: 51s - loss: 0.2363 - accuracy: 0.9238 Epoch 00001: accuracy did not improve from 0.93614 81/104 [======================>.......] - ETA: 49s - loss: 0.2367 - accuracy: 0.9232 Epoch 00001: accuracy did not improve from 0.93614 82/104 [======================>.......] - ETA: 47s - loss: 0.2358 - accuracy: 0.9234 Epoch 00001: accuracy did not improve from 0.93614 83/104 [======================>.......] - ETA: 44s - loss: 0.2356 - accuracy: 0.9228 Epoch 00001: accuracy did not improve from 0.93614 84/104 [=======================>......] - ETA: 42s - loss: 0.2351 - accuracy: 0.9230 Epoch 00001: accuracy did not improve from 0.93614 85/104 [=======================>......] - ETA: 40s - loss: 0.2369 - accuracy: 0.9221 Epoch 00001: accuracy did not improve from 0.93614 86/104 [=======================>......] - ETA: 38s - loss: 0.2360 - accuracy: 0.9222 Epoch 00001: accuracy did not improve from 0.93614 87/104 [========================>.....] - ETA: 36s - loss: 0.2369 - accuracy: 0.9221 Epoch 00001: accuracy did not improve from 0.93614 88/104 [========================>.....] - ETA: 34s - loss: 0.2383 - accuracy: 0.9208 Epoch 00001: accuracy did not improve from 0.93614 89/104 [========================>.....] - ETA: 32s - loss: 0.2396 - accuracy: 0.9199 Epoch 00001: accuracy did not improve from 0.93614 90/104 [========================>.....] - ETA: 29s - loss: 0.2382 - accuracy: 0.9201 Epoch 00001: accuracy did not improve from 0.93614 91/104 [=========================>....] - ETA: 27s - loss: 0.2365 - accuracy: 0.9207 Epoch 00001: accuracy did not improve from 0.93614 92/104 [=========================>....] - ETA: 25s - loss: 0.2397 - accuracy: 0.9195 Epoch 00001: accuracy did not improve from 0.93614 93/104 [=========================>....] - ETA: 23s - loss: 0.2391 - accuracy: 0.9190 Epoch 00001: accuracy did not improve from 0.93614 94/104 [==========================>...] - ETA: 21s - loss: 0.2399 - accuracy: 0.9182 Epoch 00001: accuracy did not improve from 0.93614 95/104 [==========================>...] - ETA: 19s - loss: 0.2396 - accuracy: 0.9178 Epoch 00001: accuracy did not improve from 0.93614 96/104 [==========================>...] - ETA: 17s - loss: 0.2407 - accuracy: 0.9180 Epoch 00001: accuracy did not improve from 0.93614 97/104 [==========================>...] - ETA: 14s - loss: 0.2409 - accuracy: 0.9178 Epoch 00001: accuracy did not improve from 0.93614 98/104 [===========================>..] - ETA: 12s - loss: 0.2404 - accuracy: 0.9177 Epoch 00001: accuracy did not improve from 0.93614 99/104 [===========================>..] - ETA: 10s - loss: 0.2409 - accuracy: 0.9173 Epoch 00001: accuracy did not improve from 0.93614 100/104 [===========================>..] - ETA: 8s - loss: 0.2415 - accuracy: 0.9172 Epoch 00001: accuracy did not improve from 0.93614 101/104 [============================>.] - ETA: 6s - loss: 0.2453 - accuracy: 0.9155 Epoch 00001: accuracy did not improve from 0.93614 102/104 [============================>.] - ETA: 4s - loss: 0.2456 - accuracy: 0.9157 Epoch 00001: accuracy did not improve from 0.93614 103/104 [============================>.] - ETA: 2s - loss: 0.2447 - accuracy: 0.9163 Epoch 00001: accuracy did not improve from 0.93614 104/104 [==============================] - ETA: 0s - loss: 0.2449 - accuracy: 0.9161 Epoch 00001: accuracy did not improve from 0.93614 104/104 [==============================] - 234s 2s/step - loss: 0.2449 - accuracy: 0.9161 - val_loss: 1.7537 - val_accuracy: 0.5288 Epoch 2/40 1/104 [..............................] - ETA: 3:53 - loss: 0.1580 - accuracy: 0.9062 Epoch 00002: accuracy did not improve from 0.93614 2/104 [..............................] - ETA: 3:41 - loss: 0.1901 - accuracy: 0.9062 Epoch 00002: accuracy did not improve from 0.93614 3/104 [..............................] - ETA: 3:38 - loss: 0.1603 - accuracy: 0.9167 Epoch 00002: accuracy did not improve from 0.93614 4/104 [>.............................] - ETA: 3:35 - loss: 0.2119 - accuracy: 0.9219 Epoch 00002: accuracy did not improve from 0.93614 5/104 [>.............................] - ETA: 3:33 - loss: 0.1873 - accuracy: 0.9250 Epoch 00002: accuracy did not improve from 0.93614 6/104 [>.............................] - ETA: 3:31 - loss: 0.1951 - accuracy: 0.9167 Epoch 00002: accuracy did not improve from 0.93614 7/104 [=>............................] - ETA: 3:29 - loss: 0.1740 - accuracy: 0.9286 Epoch 00002: accuracy did not improve from 0.93614 8/104 [=>............................] - ETA: 3:27 - loss: 0.1725 - accuracy: 0.9336 Epoch 00002: accuracy did not improve from 0.93614 9/104 [=>............................] - ETA: 3:25 - loss: 0.1679 - accuracy: 0.9375 Epoch 00002: accuracy improved from 0.93614 to 0.93750, saving model to /tmp/checkpoint 10/104 [=>............................] - ETA: 3:23 - loss: 0.1867 - accuracy: 0.9312 Epoch 00002: accuracy did not improve from 0.93750 11/104 [==>...........................] - ETA: 3:21 - loss: 0.1907 - accuracy: 0.9290 Epoch 00002: accuracy did not improve from 0.93750 12/104 [==>...........................] - ETA: 3:18 - loss: 0.1875 - accuracy: 0.9323 Epoch 00002: accuracy did not improve from 0.93750 13/104 [==>...........................] - ETA: 3:16 - loss: 0.1768 - accuracy: 0.9375 Epoch 00002: accuracy did not improve from 0.93750 14/104 [===>..........................] - ETA: 3:14 - loss: 0.1770 - accuracy: 0.9375 Epoch 00002: accuracy did not improve from 0.93750 15/104 [===>..........................] - ETA: 3:12 - loss: 0.1793 - accuracy: 0.9375 Epoch 00002: accuracy did not improve from 0.93750 16/104 [===>..........................] - ETA: 3:10 - loss: 0.1760 - accuracy: 0.9414 Epoch 00002: accuracy improved from 0.93750 to 0.94141, saving model to /tmp/checkpoint 17/104 [===>..........................] - ETA: 3:08 - loss: 0.1716 - accuracy: 0.9430 Epoch 00002: accuracy improved from 0.94141 to 0.94301, saving model to /tmp/checkpoint 18/104 [====>.........................] - ETA: 3:06 - loss: 0.1670 - accuracy: 0.9444 Epoch 00002: accuracy improved from 0.94301 to 0.94444, saving model to /tmp/checkpoint 19/104 [====>.........................] - ETA: 3:04 - loss: 0.1732 - accuracy: 0.9441 Epoch 00002: accuracy did not improve from 0.94444 20/104 [====>.........................] - ETA: 3:01 - loss: 0.1702 - accuracy: 0.9453 Epoch 00002: accuracy improved from 0.94444 to 0.94531, saving model to /tmp/checkpoint 21/104 [=====>........................] - ETA: 2:59 - loss: 0.1677 - accuracy: 0.9449 Epoch 00002: accuracy did not improve from 0.94531 22/104 [=====>........................] - ETA: 2:57 - loss: 0.1649 - accuracy: 0.9460 Epoch 00002: accuracy improved from 0.94531 to 0.94602, saving model to /tmp/checkpoint 23/104 [=====>........................] - ETA: 2:55 - loss: 0.1622 - accuracy: 0.9443 Epoch 00002: accuracy did not improve from 0.94602 24/104 [=====>........................] - ETA: 2:53 - loss: 0.1646 - accuracy: 0.9427 Epoch 00002: accuracy did not improve from 0.94602 25/104 [======>.......................] - ETA: 2:51 - loss: 0.1639 - accuracy: 0.9425 Epoch 00002: accuracy did not improve from 0.94602 26/104 [======>.......................] - ETA: 2:48 - loss: 0.1629 - accuracy: 0.9435 Epoch 00002: accuracy did not improve from 0.94602 27/104 [======>.......................] - ETA: 2:46 - loss: 0.1611 - accuracy: 0.9433 Epoch 00002: accuracy did not improve from 0.94602 28/104 [=======>......................] - ETA: 2:44 - loss: 0.1585 - accuracy: 0.9442 Epoch 00002: accuracy did not improve from 0.94602 29/104 [=======>......................] - ETA: 2:42 - loss: 0.1627 - accuracy: 0.9429 Epoch 00002: accuracy did not improve from 0.94602 30/104 [=======>......................] - ETA: 2:40 - loss: 0.1638 - accuracy: 0.9438 Epoch 00002: accuracy did not improve from 0.94602 31/104 [=======>......................] - ETA: 2:37 - loss: 0.1616 - accuracy: 0.9446 Epoch 00002: accuracy did not improve from 0.94602 32/104 [========>.....................] - ETA: 2:35 - loss: 0.1623 - accuracy: 0.9434 Epoch 00002: accuracy did not improve from 0.94602 33/104 [========>.....................] - ETA: 2:33 - loss: 0.1639 - accuracy: 0.9413 Epoch 00002: accuracy did not improve from 0.94602 34/104 [========>.....................] - ETA: 2:31 - loss: 0.1655 - accuracy: 0.9412 Epoch 00002: accuracy did not improve from 0.94602 35/104 [=========>....................] - ETA: 2:29 - loss: 0.1647 - accuracy: 0.9420 Epoch 00002: accuracy did not improve from 0.94602 36/104 [=========>....................] - ETA: 2:26 - loss: 0.1639 - accuracy: 0.9427 Epoch 00002: accuracy did not improve from 0.94602 37/104 [=========>....................] - ETA: 2:24 - loss: 0.1646 - accuracy: 0.9426 Epoch 00002: accuracy did not improve from 0.94602 38/104 [=========>....................] - ETA: 2:22 - loss: 0.1744 - accuracy: 0.9408 Epoch 00002: accuracy did not improve from 0.94602 39/104 [==========>...................] - ETA: 2:20 - loss: 0.1748 - accuracy: 0.9407 Epoch 00002: accuracy did not improve from 0.94602 40/104 [==========>...................] - ETA: 2:18 - loss: 0.1721 - accuracy: 0.9414 Epoch 00002: accuracy did not improve from 0.94602 41/104 [==========>...................] - ETA: 2:16 - loss: 0.1695 - accuracy: 0.9421 Epoch 00002: accuracy did not improve from 0.94602 42/104 [===========>..................] - ETA: 2:13 - loss: 0.1699 - accuracy: 0.9420 Epoch 00002: accuracy did not improve from 0.94602 43/104 [===========>..................] - ETA: 2:11 - loss: 0.1694 - accuracy: 0.9419 Epoch 00002: accuracy did not improve from 0.94602 44/104 [===========>..................] - ETA: 2:09 - loss: 0.1674 - accuracy: 0.9432 Epoch 00002: accuracy did not improve from 0.94602 45/104 [===========>..................] - ETA: 2:07 - loss: 0.1660 - accuracy: 0.9438 Epoch 00002: accuracy did not improve from 0.94602 46/104 [============>.................] - ETA: 2:05 - loss: 0.1683 - accuracy: 0.9436 Epoch 00002: accuracy did not improve from 0.94602 47/104 [============>.................] - ETA: 2:03 - loss: 0.1672 - accuracy: 0.9441 Epoch 00002: accuracy did not improve from 0.94602 48/104 [============>.................] - ETA: 2:00 - loss: 0.1663 - accuracy: 0.9440 Epoch 00002: accuracy did not improve from 0.94602 49/104 [=============>................] - ETA: 1:58 - loss: 0.1657 - accuracy: 0.9439 Epoch 00002: accuracy did not improve from 0.94602 50/104 [=============>................] - ETA: 1:56 - loss: 0.1647 - accuracy: 0.9444 Epoch 00002: accuracy did not improve from 0.94602 51/104 [=============>................] - ETA: 1:54 - loss: 0.1660 - accuracy: 0.9436 Epoch 00002: accuracy did not improve from 0.94602 52/104 [==============>...............] - ETA: 1:52 - loss: 0.1659 - accuracy: 0.9441 Epoch 00002: accuracy did not improve from 0.94602 53/104 [==============>...............] - ETA: 1:50 - loss: 0.1639 - accuracy: 0.9452 Epoch 00002: accuracy did not improve from 0.94602 54/104 [==============>...............] - ETA: 1:47 - loss: 0.1630 - accuracy: 0.9462 Epoch 00002: accuracy improved from 0.94602 to 0.94618, saving model to /tmp/checkpoint 55/104 [==============>...............] - ETA: 1:45 - loss: 0.1616 - accuracy: 0.9466 Epoch 00002: accuracy improved from 0.94618 to 0.94659, saving model to /tmp/checkpoint 56/104 [===============>..............] - ETA: 1:43 - loss: 0.1607 - accuracy: 0.9470 Epoch 00002: accuracy improved from 0.94659 to 0.94699, saving model to /tmp/checkpoint 57/104 [===============>..............] - ETA: 1:41 - loss: 0.1595 - accuracy: 0.9474 Epoch 00002: accuracy improved from 0.94699 to 0.94737, saving model to /tmp/checkpoint 58/104 [===============>..............] - ETA: 1:39 - loss: 0.1594 - accuracy: 0.9472 Epoch 00002: accuracy did not improve from 0.94737 59/104 [================>.............] - ETA: 1:37 - loss: 0.1629 - accuracy: 0.9454 Epoch 00002: accuracy did not improve from 0.94737 60/104 [================>.............] - ETA: 1:35 - loss: 0.1645 - accuracy: 0.9443 Epoch 00002: accuracy did not improve from 0.94737 61/104 [================>.............] - ETA: 1:32 - loss: 0.1648 - accuracy: 0.9442 Epoch 00002: accuracy did not improve from 0.94737 62/104 [================>.............] - ETA: 1:30 - loss: 0.1645 - accuracy: 0.9441 Epoch 00002: accuracy did not improve from 0.94737 63/104 [=================>............] - ETA: 1:28 - loss: 0.1643 - accuracy: 0.9444 Epoch 00002: accuracy did not improve from 0.94737 64/104 [=================>............] - ETA: 1:26 - loss: 0.1629 - accuracy: 0.9448 Epoch 00002: accuracy did not improve from 0.94737 65/104 [=================>............] - ETA: 1:24 - loss: 0.1632 - accuracy: 0.9452 Epoch 00002: accuracy did not improve from 0.94737 66/104 [==================>...........] - ETA: 1:22 - loss: 0.1618 - accuracy: 0.9460 Epoch 00002: accuracy did not improve from 0.94737 67/104 [==================>...........] - ETA: 1:19 - loss: 0.1615 - accuracy: 0.9459 Epoch 00002: accuracy did not improve from 0.94737 68/104 [==================>...........] - ETA: 1:17 - loss: 0.1608 - accuracy: 0.9458 Epoch 00002: accuracy did not improve from 0.94737 69/104 [==================>...........] - ETA: 1:15 - loss: 0.1618 - accuracy: 0.9447 Epoch 00002: accuracy did not improve from 0.94737 70/104 [===================>..........] - ETA: 1:13 - loss: 0.1614 - accuracy: 0.9455 Epoch 00002: accuracy did not improve from 0.94737 71/104 [===================>..........] - ETA: 1:11 - loss: 0.1628 - accuracy: 0.9450 Epoch 00002: accuracy did not improve from 0.94737 72/104 [===================>..........] - ETA: 1:09 - loss: 0.1614 - accuracy: 0.9457 Epoch 00002: accuracy did not improve from 0.94737 73/104 [====================>.........] - ETA: 1:06 - loss: 0.1607 - accuracy: 0.9461 Epoch 00002: accuracy did not improve from 0.94737 74/104 [====================>.........] - ETA: 1:04 - loss: 0.1606 - accuracy: 0.9455 Epoch 00002: accuracy did not improve from 0.94737 75/104 [====================>.........] - ETA: 1:02 - loss: 0.1602 - accuracy: 0.9458 Epoch 00002: accuracy did not improve from 0.94737 76/104 [====================>.........] - ETA: 1:00 - loss: 0.1609 - accuracy: 0.9461 Epoch 00002: accuracy did not improve from 0.94737 77/104 [=====================>........] - ETA: 58s - loss: 0.1610 - accuracy: 0.9456 Epoch 00002: accuracy did not improve from 0.94737 78/104 [=====================>........] - ETA: 56s - loss: 0.1623 - accuracy: 0.9451 Epoch 00002: accuracy did not improve from 0.94737 79/104 [=====================>........] - ETA: 53s - loss: 0.1635 - accuracy: 0.9446 Epoch 00002: accuracy did not improve from 0.94737 80/104 [======================>.......] - ETA: 51s - loss: 0.1622 - accuracy: 0.9453 Epoch 00002: accuracy did not improve from 0.94737 81/104 [======================>.......] - ETA: 49s - loss: 0.1621 - accuracy: 0.9452 Epoch 00002: accuracy did not improve from 0.94737 82/104 [======================>.......] - ETA: 47s - loss: 0.1613 - accuracy: 0.9459 Epoch 00002: accuracy did not improve from 0.94737 83/104 [======================>.......] - ETA: 45s - loss: 0.1607 - accuracy: 0.9462 Epoch 00002: accuracy did not improve from 0.94737 84/104 [=======================>......] - ETA: 43s - loss: 0.1599 - accuracy: 0.9464 Epoch 00002: accuracy did not improve from 0.94737 85/104 [=======================>......] - ETA: 41s - loss: 0.1588 - accuracy: 0.9471 Epoch 00002: accuracy did not improve from 0.94737 86/104 [=======================>......] - ETA: 38s - loss: 0.1588 - accuracy: 0.9469 Epoch 00002: accuracy did not improve from 0.94737 87/104 [========================>.....] - ETA: 36s - loss: 0.1600 - accuracy: 0.9465 Epoch 00002: accuracy did not improve from 0.94737 88/104 [========================>.....] - ETA: 34s - loss: 0.1615 - accuracy: 0.9460 Epoch 00002: accuracy did not improve from 0.94737 89/104 [========================>.....] - ETA: 32s - loss: 0.1630 - accuracy: 0.9456 Epoch 00002: accuracy did not improve from 0.94737 90/104 [========================>.....] - ETA: 30s - loss: 0.1629 - accuracy: 0.9458 Epoch 00002: accuracy did not improve from 0.94737 91/104 [=========================>....] - ETA: 28s - loss: 0.1622 - accuracy: 0.9461 Epoch 00002: accuracy did not improve from 0.94737 92/104 [=========================>....] - ETA: 25s - loss: 0.1616 - accuracy: 0.9463 Epoch 00002: accuracy did not improve from 0.94737 93/104 [=========================>....] - ETA: 23s - loss: 0.1626 - accuracy: 0.9466 Epoch 00002: accuracy did not improve from 0.94737 94/104 [==========================>...] - ETA: 21s - loss: 0.1638 - accuracy: 0.9458 Epoch 00002: accuracy did not improve from 0.94737 95/104 [==========================>...] - ETA: 19s - loss: 0.1634 - accuracy: 0.9457 Epoch 00002: accuracy did not improve from 0.94737 96/104 [==========================>...] - ETA: 17s - loss: 0.1630 - accuracy: 0.9456 Epoch 00002: accuracy did not improve from 0.94737 97/104 [==========================>...] - ETA: 15s - loss: 0.1626 - accuracy: 0.9456 Epoch 00002: accuracy did not improve from 0.94737 98/104 [===========================>..] - ETA: 12s - loss: 0.1633 - accuracy: 0.9448 Epoch 00002: accuracy did not improve from 0.94737 99/104 [===========================>..] - ETA: 10s - loss: 0.1633 - accuracy: 0.9448 Epoch 00002: accuracy did not improve from 0.94737 100/104 [===========================>..] - ETA: 8s - loss: 0.1641 - accuracy: 0.9444 Epoch 00002: accuracy did not improve from 0.94737 101/104 [============================>.] - ETA: 6s - loss: 0.1629 - accuracy: 0.9449 Epoch 00002: accuracy did not improve from 0.94737 102/104 [============================>.] - ETA: 4s - loss: 0.1644 - accuracy: 0.9436 Epoch 00002: accuracy did not improve from 0.94737 103/104 [============================>.] - ETA: 2s - loss: 0.1676 - accuracy: 0.9424 Epoch 00002: accuracy did not improve from 0.94737 104/104 [==============================] - ETA: 0s - loss: 0.1680 - accuracy: 0.9423 Epoch 00002: accuracy did not improve from 0.94737 104/104 [==============================] - 236s 2s/step - loss: 0.1680 - accuracy: 0.9423 - val_loss: 2.0602 - val_accuracy: 0.4909 Epoch 3/40 1/104 [..............................] - ETA: 3:55 - loss: 0.1304 - accuracy: 0.9375 Epoch 00003: accuracy did not improve from 0.94737 2/104 [..............................] - ETA: 3:38 - loss: 0.1312 - accuracy: 0.9375 Epoch 00003: accuracy did not improve from 0.94737 3/104 [..............................] - ETA: 3:36 - loss: 0.1371 - accuracy: 0.9375 Epoch 00003: accuracy did not improve from 0.94737 4/104 [>.............................] - ETA: 3:34 - loss: 0.1207 - accuracy: 0.9531 Epoch 00003: accuracy improved from 0.94737 to 0.95312, saving model to /tmp/checkpoint 5/104 [>.............................] - ETA: 3:33 - loss: 0.1099 - accuracy: 0.9563 Epoch 00003: accuracy improved from 0.95312 to 0.95625, saving model to /tmp/checkpoint 6/104 [>.............................] - ETA: 3:32 - loss: 0.1325 - accuracy: 0.9479 Epoch 00003: accuracy did not improve from 0.95625 7/104 [=>............................] - ETA: 3:30 - loss: 0.1198 - accuracy: 0.9554 Epoch 00003: accuracy did not improve from 0.95625 8/104 [=>............................] - ETA: 3:28 - loss: 0.1401 - accuracy: 0.9492 Epoch 00003: accuracy did not improve from 0.95625 9/104 [=>............................] - ETA: 3:26 - loss: 0.1529 - accuracy: 0.9410 Epoch 00003: accuracy did not improve from 0.95625 10/104 [=>............................] - ETA: 3:23 - loss: 0.1494 - accuracy: 0.9438 Epoch 00003: accuracy did not improve from 0.95625 11/104 [==>...........................] - ETA: 3:21 - loss: 0.1451 - accuracy: 0.9460 Epoch 00003: accuracy did not improve from 0.95625 12/104 [==>...........................] - ETA: 3:19 - loss: 0.1395 - accuracy: 0.9479 Epoch 00003: accuracy did not improve from 0.95625 13/104 [==>...........................] - ETA: 3:17 - loss: 0.1390 - accuracy: 0.9471 Epoch 00003: accuracy did not improve from 0.95625 14/104 [===>..........................] - ETA: 3:14 - loss: 0.1466 - accuracy: 0.9464 Epoch 00003: accuracy did not improve from 0.95625 15/104 [===>..........................] - ETA: 3:12 - loss: 0.1440 - accuracy: 0.9458 Epoch 00003: accuracy did not improve from 0.95625 16/104 [===>..........................] - ETA: 3:10 - loss: 0.1497 - accuracy: 0.9414 Epoch 00003: accuracy did not improve from 0.95625 17/104 [===>..........................] - ETA: 3:08 - loss: 0.1494 - accuracy: 0.9430 Epoch 00003: accuracy did not improve from 0.95625 18/104 [====>.........................] - ETA: 3:06 - loss: 0.1449 - accuracy: 0.9462 Epoch 00003: accuracy did not improve from 0.95625 19/104 [====>.........................] - ETA: 3:03 - loss: 0.1400 - accuracy: 0.9474 Epoch 00003: accuracy did not improve from 0.95625 20/104 [====>.........................] - ETA: 3:01 - loss: 0.1360 - accuracy: 0.9500 Epoch 00003: accuracy did not improve from 0.95625 21/104 [=====>........................] - ETA: 2:59 - loss: 0.1365 - accuracy: 0.9509 Epoch 00003: accuracy did not improve from 0.95625 22/104 [=====>........................] - ETA: 2:57 - loss: 0.1358 - accuracy: 0.9517 Epoch 00003: accuracy did not improve from 0.95625 23/104 [=====>........................] - ETA: 2:55 - loss: 0.1353 - accuracy: 0.9524 Epoch 00003: accuracy did not improve from 0.95625 24/104 [=====>........................] - ETA: 2:53 - loss: 0.1390 - accuracy: 0.9531 Epoch 00003: accuracy did not improve from 0.95625 25/104 [======>.......................] - ETA: 2:50 - loss: 0.1361 - accuracy: 0.9550 Epoch 00003: accuracy did not improve from 0.95625 26/104 [======>.......................] - ETA: 2:48 - loss: 0.1369 - accuracy: 0.9531 Epoch 00003: accuracy did not improve from 0.95625 27/104 [======>.......................] - ETA: 2:46 - loss: 0.1363 - accuracy: 0.9537 Epoch 00003: accuracy did not improve from 0.95625 28/104 [=======>......................] - ETA: 2:44 - loss: 0.1382 - accuracy: 0.9542 Epoch 00003: accuracy did not improve from 0.95625 29/104 [=======>......................] - ETA: 2:42 - loss: 0.1392 - accuracy: 0.9547 Epoch 00003: accuracy did not improve from 0.95625 30/104 [=======>......................] - ETA: 2:39 - loss: 0.1364 - accuracy: 0.9563 Epoch 00003: accuracy did not improve from 0.95625 31/104 [=======>......................] - ETA: 2:37 - loss: 0.1333 - accuracy: 0.9577 Epoch 00003: accuracy improved from 0.95625 to 0.95766, saving model to /tmp/checkpoint 32/104 [========>.....................] - ETA: 2:35 - loss: 0.1325 - accuracy: 0.9570 Epoch 00003: accuracy did not improve from 0.95766 33/104 [========>.....................] - ETA: 2:33 - loss: 0.1305 - accuracy: 0.9583 Epoch 00003: accuracy improved from 0.95766 to 0.95833, saving model to /tmp/checkpoint 34/104 [========>.....................] - ETA: 2:31 - loss: 0.1289 - accuracy: 0.9596 Epoch 00003: accuracy improved from 0.95833 to 0.95956, saving model to /tmp/checkpoint 35/104 [=========>....................] - ETA: 2:29 - loss: 0.1289 - accuracy: 0.9598 Epoch 00003: accuracy improved from 0.95956 to 0.95982, saving model to /tmp/checkpoint 36/104 [=========>....................] - ETA: 2:27 - loss: 0.1291 - accuracy: 0.9592 Epoch 00003: accuracy did not improve from 0.95982 37/104 [=========>....................] - ETA: 2:25 - loss: 0.1270 - accuracy: 0.9603 Epoch 00003: accuracy improved from 0.95982 to 0.96030, saving model to /tmp/checkpoint 38/104 [=========>....................] - ETA: 2:22 - loss: 0.1243 - accuracy: 0.9613 Epoch 00003: accuracy improved from 0.96030 to 0.96135, saving model to /tmp/checkpoint 39/104 [==========>...................] - ETA: 2:20 - loss: 0.1229 - accuracy: 0.9623 Epoch 00003: accuracy improved from 0.96135 to 0.96234, saving model to /tmp/checkpoint 40/104 [==========>...................] - ETA: 2:18 - loss: 0.1207 - accuracy: 0.9633 Epoch 00003: accuracy improved from 0.96234 to 0.96328, saving model to /tmp/checkpoint 41/104 [==========>...................] - ETA: 2:16 - loss: 0.1195 - accuracy: 0.9634 Epoch 00003: accuracy improved from 0.96328 to 0.96341, saving model to /tmp/checkpoint 42/104 [===========>..................] - ETA: 2:14 - loss: 0.1182 - accuracy: 0.9635 Epoch 00003: accuracy improved from 0.96341 to 0.96354, saving model to /tmp/checkpoint 43/104 [===========>..................] - ETA: 2:12 - loss: 0.1184 - accuracy: 0.9637 Epoch 00003: accuracy improved from 0.96354 to 0.96366, saving model to /tmp/checkpoint 44/104 [===========>..................] - ETA: 2:10 - loss: 0.1174 - accuracy: 0.9638 Epoch 00003: accuracy improved from 0.96366 to 0.96378, saving model to /tmp/checkpoint 45/104 [===========>..................] - ETA: 2:08 - loss: 0.1176 - accuracy: 0.9632 Epoch 00003: accuracy did not improve from 0.96378 46/104 [============>.................] - ETA: 2:07 - loss: 0.1159 - accuracy: 0.9640 Epoch 00003: accuracy improved from 0.96378 to 0.96399, saving model to /tmp/checkpoint 47/104 [============>.................] - ETA: 2:06 - loss: 0.1146 - accuracy: 0.9641 Epoch 00003: accuracy improved from 0.96399 to 0.96410, saving model to /tmp/checkpoint 48/104 [============>.................] - ETA: 2:06 - loss: 0.1150 - accuracy: 0.9635 Epoch 00003: accuracy did not improve from 0.96410 49/104 [=============>................] - ETA: 2:04 - loss: 0.1136 - accuracy: 0.9636 Epoch 00003: accuracy did not improve from 0.96410 50/104 [=============>................] - ETA: 2:02 - loss: 0.1140 - accuracy: 0.9625 Epoch 00003: accuracy did not improve from 0.96410 51/104 [=============>................] - ETA: 2:00 - loss: 0.1128 - accuracy: 0.9626 Epoch 00003: accuracy did not improve from 0.96410 52/104 [==============>...............] - ETA: 1:57 - loss: 0.1149 - accuracy: 0.9627 Epoch 00003: accuracy did not improve from 0.96410 53/104 [==============>...............] - ETA: 1:55 - loss: 0.1154 - accuracy: 0.9623 Epoch 00003: accuracy did not improve from 0.96410 54/104 [==============>...............] - ETA: 1:53 - loss: 0.1169 - accuracy: 0.9618 Epoch 00003: accuracy did not improve from 0.96410 55/104 [==============>...............] - ETA: 1:50 - loss: 0.1167 - accuracy: 0.9619 Epoch 00003: accuracy did not improve from 0.96410 56/104 [===============>..............] - ETA: 1:48 - loss: 0.1169 - accuracy: 0.9621 Epoch 00003: accuracy did not improve from 0.96410 57/104 [===============>..............] - ETA: 1:46 - loss: 0.1158 - accuracy: 0.9622 Epoch 00003: accuracy did not improve from 0.96410 58/104 [===============>..............] - ETA: 1:43 - loss: 0.1154 - accuracy: 0.9623 Epoch 00003: accuracy did not improve from 0.96410 59/104 [================>.............] - ETA: 1:41 - loss: 0.1144 - accuracy: 0.9624 Epoch 00003: accuracy did not improve from 0.96410 60/104 [================>.............] - ETA: 1:39 - loss: 0.1137 - accuracy: 0.9620 Epoch 00003: accuracy did not improve from 0.96410 61/104 [================>.............] - ETA: 1:36 - loss: 0.1132 - accuracy: 0.9621 Epoch 00003: accuracy did not improve from 0.96410 62/104 [================>.............] - ETA: 1:34 - loss: 0.1128 - accuracy: 0.9622 Epoch 00003: accuracy did not improve from 0.96410 63/104 [=================>............] - ETA: 1:32 - loss: 0.1130 - accuracy: 0.9623 Epoch 00003: accuracy did not improve from 0.96410 64/104 [=================>............] - ETA: 1:29 - loss: 0.1132 - accuracy: 0.9619 Epoch 00003: accuracy did not improve from 0.96410 65/104 [=================>............] - ETA: 1:27 - loss: 0.1146 - accuracy: 0.9620 Epoch 00003: accuracy did not improve from 0.96410 66/104 [==================>...........] - ETA: 1:25 - loss: 0.1161 - accuracy: 0.9612 Epoch 00003: accuracy did not improve from 0.96410 67/104 [==================>...........] - ETA: 1:22 - loss: 0.1168 - accuracy: 0.9604 Epoch 00003: accuracy did not improve from 0.96410 68/104 [==================>...........] - ETA: 1:20 - loss: 0.1163 - accuracy: 0.9605 Epoch 00003: accuracy did not improve from 0.96410 69/104 [==================>...........] - ETA: 1:18 - loss: 0.1152 - accuracy: 0.9611 Epoch 00003: accuracy did not improve from 0.96410 70/104 [===================>..........] - ETA: 1:16 - loss: 0.1177 - accuracy: 0.9607 Epoch 00003: accuracy did not improve from 0.96410 71/104 [===================>..........] - ETA: 1:14 - loss: 0.1174 - accuracy: 0.9608 Epoch 00003: accuracy did not improve from 0.96410 72/104 [===================>..........] - ETA: 1:12 - loss: 0.1198 - accuracy: 0.9601 Epoch 00003: accuracy did not improve from 0.96410 73/104 [====================>.........] - ETA: 1:09 - loss: 0.1212 - accuracy: 0.9593 Epoch 00003: accuracy did not improve from 0.96410 74/104 [====================>.........] - ETA: 1:07 - loss: 0.1206 - accuracy: 0.9599 Epoch 00003: accuracy did not improve from 0.96410 75/104 [====================>.........] - ETA: 1:05 - loss: 0.1203 - accuracy: 0.9600 Epoch 00003: accuracy did not improve from 0.96410 76/104 [====================>.........] - ETA: 1:02 - loss: 0.1206 - accuracy: 0.9601 Epoch 00003: accuracy did not improve from 0.96410 77/104 [=====================>........] - ETA: 1:00 - loss: 0.1207 - accuracy: 0.9602 Epoch 00003: accuracy did not improve from 0.96410 78/104 [=====================>........] - ETA: 58s - loss: 0.1209 - accuracy: 0.9603 Epoch 00003: accuracy did not improve from 0.96410 79/104 [=====================>........] - ETA: 56s - loss: 0.1210 - accuracy: 0.9600 Epoch 00003: accuracy did not improve from 0.96410 80/104 [======================>.......] - ETA: 53s - loss: 0.1210 - accuracy: 0.9602 Epoch 00003: accuracy did not improve from 0.96410 81/104 [======================>.......] - ETA: 51s - loss: 0.1216 - accuracy: 0.9599 Epoch 00003: accuracy did not improve from 0.96410 82/104 [======================>.......] - ETA: 49s - loss: 0.1227 - accuracy: 0.9596 Epoch 00003: accuracy did not improve from 0.96410 83/104 [======================>.......] - ETA: 47s - loss: 0.1221 - accuracy: 0.9601 Epoch 00003: accuracy did not improve from 0.96410 84/104 [=======================>......] - ETA: 44s - loss: 0.1235 - accuracy: 0.9594 Epoch 00003: accuracy did not improve from 0.96410 85/104 [=======================>......] - ETA: 42s - loss: 0.1244 - accuracy: 0.9592 Epoch 00003: accuracy did not improve from 0.96410 86/104 [=======================>......] - ETA: 40s - loss: 0.1244 - accuracy: 0.9597 Epoch 00003: accuracy did not improve from 0.96410 87/104 [========================>.....] - ETA: 38s - loss: 0.1252 - accuracy: 0.9594 Epoch 00003: accuracy did not improve from 0.96410 88/104 [========================>.....] - ETA: 35s - loss: 0.1249 - accuracy: 0.9595 Epoch 00003: accuracy did not improve from 0.96410 89/104 [========================>.....] - ETA: 33s - loss: 0.1238 - accuracy: 0.9600 Epoch 00003: accuracy did not improve from 0.96410 90/104 [========================>.....] - ETA: 31s - loss: 0.1241 - accuracy: 0.9597 Epoch 00003: accuracy did not improve from 0.96410 91/104 [=========================>....] - ETA: 29s - loss: 0.1260 - accuracy: 0.9588 Epoch 00003: accuracy did not improve from 0.96410 92/104 [=========================>....] - ETA: 26s - loss: 0.1277 - accuracy: 0.9579 Epoch 00003: accuracy did not improve from 0.96410 93/104 [=========================>....] - ETA: 24s - loss: 0.1265 - accuracy: 0.9583 Epoch 00003: accuracy did not improve from 0.96410 94/104 [==========================>...] - ETA: 22s - loss: 0.1263 - accuracy: 0.9584 Epoch 00003: accuracy did not improve from 0.96410 95/104 [==========================>...] - ETA: 20s - loss: 0.1276 - accuracy: 0.9579 Epoch 00003: accuracy did not improve from 0.96410 96/104 [==========================>...] - ETA: 17s - loss: 0.1275 - accuracy: 0.9574 Epoch 00003: accuracy did not improve from 0.96410 97/104 [==========================>...] - ETA: 15s - loss: 0.1271 - accuracy: 0.9575 Epoch 00003: accuracy did not improve from 0.96410 98/104 [===========================>..] - ETA: 13s - loss: 0.1283 - accuracy: 0.9563 Epoch 00003: accuracy did not improve from 0.96410 99/104 [===========================>..] - ETA: 11s - loss: 0.1280 - accuracy: 0.9561 Epoch 00003: accuracy did not improve from 0.96410 100/104 [===========================>..] - ETA: 8s - loss: 0.1285 - accuracy: 0.9559 Epoch 00003: accuracy did not improve from 0.96410 101/104 [============================>.] - ETA: 6s - loss: 0.1284 - accuracy: 0.9558 Epoch 00003: accuracy did not improve from 0.96410 102/104 [============================>.] - ETA: 4s - loss: 0.1281 - accuracy: 0.9559 Epoch 00003: accuracy did not improve from 0.96410 103/104 [============================>.] - ETA: 2s - loss: 0.1292 - accuracy: 0.9554 Epoch 00003: accuracy did not improve from 0.96410 104/104 [==============================] - ETA: 0s - loss: 0.1304 - accuracy: 0.9549 Epoch 00003: accuracy did not improve from 0.96410 104/104 [==============================] - 243s 2s/step - loss: 0.1304 - accuracy: 0.9549 - val_loss: 1.7013 - val_accuracy: 0.6311 Epoch 4/40 1/104 [..............................] - ETA: 3:40 - loss: 0.1576 - accuracy: 0.9688 Epoch 00004: accuracy improved from 0.96410 to 0.96875, saving model to /tmp/checkpoint 2/104 [..............................] - ETA: 3:41 - loss: 0.1662 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 3/104 [..............................] - ETA: 3:38 - loss: 0.1804 - accuracy: 0.9479 Epoch 00004: accuracy did not improve from 0.96875 4/104 [>.............................] - ETA: 3:34 - loss: 0.1599 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 5/104 [>.............................] - ETA: 3:32 - loss: 0.1553 - accuracy: 0.9563 Epoch 00004: accuracy did not improve from 0.96875 6/104 [>.............................] - ETA: 3:30 - loss: 0.1586 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 7/104 [=>............................] - ETA: 3:27 - loss: 0.1421 - accuracy: 0.9598 Epoch 00004: accuracy did not improve from 0.96875 8/104 [=>............................] - ETA: 3:25 - loss: 0.1378 - accuracy: 0.9609 Epoch 00004: accuracy did not improve from 0.96875 9/104 [=>............................] - ETA: 3:23 - loss: 0.1386 - accuracy: 0.9618 Epoch 00004: accuracy did not improve from 0.96875 10/104 [=>............................] - ETA: 3:20 - loss: 0.1377 - accuracy: 0.9625 Epoch 00004: accuracy did not improve from 0.96875 11/104 [==>...........................] - ETA: 3:18 - loss: 0.1330 - accuracy: 0.9659 Epoch 00004: accuracy did not improve from 0.96875 12/104 [==>...........................] - ETA: 3:16 - loss: 0.1375 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 13/104 [==>...........................] - ETA: 3:14 - loss: 0.1384 - accuracy: 0.9543 Epoch 00004: accuracy did not improve from 0.96875 14/104 [===>..........................] - ETA: 3:11 - loss: 0.1429 - accuracy: 0.9487 Epoch 00004: accuracy did not improve from 0.96875 15/104 [===>..........................] - ETA: 3:09 - loss: 0.1468 - accuracy: 0.9479 Epoch 00004: accuracy did not improve from 0.96875 16/104 [===>..........................] - ETA: 3:07 - loss: 0.1453 - accuracy: 0.9492 Epoch 00004: accuracy did not improve from 0.96875 17/104 [===>..........................] - ETA: 3:05 - loss: 0.1409 - accuracy: 0.9504 Epoch 00004: accuracy did not improve from 0.96875 18/104 [====>.........................] - ETA: 3:03 - loss: 0.1374 - accuracy: 0.9514 Epoch 00004: accuracy did not improve from 0.96875 19/104 [====>.........................] - ETA: 3:01 - loss: 0.1318 - accuracy: 0.9539 Epoch 00004: accuracy did not improve from 0.96875 20/104 [====>.........................] - ETA: 2:59 - loss: 0.1346 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 21/104 [=====>........................] - ETA: 2:56 - loss: 0.1300 - accuracy: 0.9554 Epoch 00004: accuracy did not improve from 0.96875 22/104 [=====>........................] - ETA: 2:54 - loss: 0.1335 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 23/104 [=====>........................] - ETA: 2:52 - loss: 0.1357 - accuracy: 0.9524 Epoch 00004: accuracy did not improve from 0.96875 24/104 [=====>........................] - ETA: 2:50 - loss: 0.1323 - accuracy: 0.9544 Epoch 00004: accuracy did not improve from 0.96875 25/104 [======>.......................] - ETA: 2:48 - loss: 0.1340 - accuracy: 0.9538 Epoch 00004: accuracy did not improve from 0.96875 26/104 [======>.......................] - ETA: 2:46 - loss: 0.1326 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 27/104 [======>.......................] - ETA: 2:44 - loss: 0.1294 - accuracy: 0.9549 Epoch 00004: accuracy did not improve from 0.96875 28/104 [=======>......................] - ETA: 2:41 - loss: 0.1332 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 29/104 [=======>......................] - ETA: 2:39 - loss: 0.1352 - accuracy: 0.9526 Epoch 00004: accuracy did not improve from 0.96875 30/104 [=======>......................] - ETA: 2:37 - loss: 0.1357 - accuracy: 0.9521 Epoch 00004: accuracy did not improve from 0.96875 31/104 [=======>......................] - ETA: 2:35 - loss: 0.1340 - accuracy: 0.9536 Epoch 00004: accuracy did not improve from 0.96875 32/104 [========>.....................] - ETA: 2:33 - loss: 0.1367 - accuracy: 0.9531 Epoch 00004: accuracy did not improve from 0.96875 33/104 [========>.....................] - ETA: 2:31 - loss: 0.1357 - accuracy: 0.9527 Epoch 00004: accuracy did not improve from 0.96875 34/104 [========>.....................] - ETA: 2:29 - loss: 0.1362 - accuracy: 0.9522 Epoch 00004: accuracy did not improve from 0.96875 35/104 [=========>....................] - ETA: 2:27 - loss: 0.1355 - accuracy: 0.9536 Epoch 00004: accuracy did not improve from 0.96875 36/104 [=========>....................] - ETA: 2:24 - loss: 0.1337 - accuracy: 0.9549 Epoch 00004: accuracy did not improve from 0.96875 37/104 [=========>....................] - ETA: 2:22 - loss: 0.1319 - accuracy: 0.9552 Epoch 00004: accuracy did not improve from 0.96875 38/104 [=========>....................] - ETA: 2:20 - loss: 0.1308 - accuracy: 0.9556 Epoch 00004: accuracy did not improve from 0.96875 39/104 [==========>...................] - ETA: 2:18 - loss: 0.1334 - accuracy: 0.9535 Epoch 00004: accuracy did not improve from 0.96875 40/104 [==========>...................] - ETA: 2:16 - loss: 0.1320 - accuracy: 0.9547 Epoch 00004: accuracy did not improve from 0.96875 41/104 [==========>...................] - ETA: 2:14 - loss: 0.1305 - accuracy: 0.9550 Epoch 00004: accuracy did not improve from 0.96875 42/104 [===========>..................] - ETA: 2:12 - loss: 0.1291 - accuracy: 0.9561 Epoch 00004: accuracy did not improve from 0.96875 43/104 [===========>..................] - ETA: 2:09 - loss: 0.1282 - accuracy: 0.9571 Epoch 00004: accuracy did not improve from 0.96875 44/104 [===========>..................] - ETA: 2:07 - loss: 0.1269 - accuracy: 0.9581 Epoch 00004: accuracy did not improve from 0.96875 45/104 [===========>..................] - ETA: 2:05 - loss: 0.1280 - accuracy: 0.9569 Epoch 00004: accuracy did not improve from 0.96875 46/104 [============>.................] - ETA: 2:03 - loss: 0.1276 - accuracy: 0.9572 Epoch 00004: accuracy did not improve from 0.96875 47/104 [============>.................] - ETA: 2:01 - loss: 0.1264 - accuracy: 0.9574 Epoch 00004: accuracy did not improve from 0.96875 48/104 [============>.................] - ETA: 1:59 - loss: 0.1243 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 49/104 [=============>................] - ETA: 1:57 - loss: 0.1255 - accuracy: 0.9585 Epoch 00004: accuracy did not improve from 0.96875 50/104 [=============>................] - ETA: 1:55 - loss: 0.1254 - accuracy: 0.9581 Epoch 00004: accuracy did not improve from 0.96875 51/104 [=============>................] - ETA: 1:52 - loss: 0.1253 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 52/104 [==============>...............] - ETA: 1:50 - loss: 0.1245 - accuracy: 0.9591 Epoch 00004: accuracy did not improve from 0.96875 53/104 [==============>...............] - ETA: 1:48 - loss: 0.1235 - accuracy: 0.9593 Epoch 00004: accuracy did not improve from 0.96875 54/104 [==============>...............] - ETA: 1:46 - loss: 0.1248 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 55/104 [==============>...............] - ETA: 1:44 - loss: 0.1231 - accuracy: 0.9591 Epoch 00004: accuracy did not improve from 0.96875 56/104 [===============>..............] - ETA: 1:42 - loss: 0.1214 - accuracy: 0.9598 Epoch 00004: accuracy did not improve from 0.96875 57/104 [===============>..............] - ETA: 1:40 - loss: 0.1217 - accuracy: 0.9594 Epoch 00004: accuracy did not improve from 0.96875 58/104 [===============>..............] - ETA: 1:38 - loss: 0.1213 - accuracy: 0.9591 Epoch 00004: accuracy did not improve from 0.96875 59/104 [================>.............] - ETA: 1:35 - loss: 0.1219 - accuracy: 0.9587 Epoch 00004: accuracy did not improve from 0.96875 60/104 [================>.............] - ETA: 1:33 - loss: 0.1206 - accuracy: 0.9589 Epoch 00004: accuracy did not improve from 0.96875 61/104 [================>.............] - ETA: 1:31 - loss: 0.1216 - accuracy: 0.9585 Epoch 00004: accuracy did not improve from 0.96875 62/104 [================>.............] - ETA: 1:29 - loss: 0.1223 - accuracy: 0.9577 Epoch 00004: accuracy did not improve from 0.96875 63/104 [=================>............] - ETA: 1:27 - loss: 0.1208 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 64/104 [=================>............] - ETA: 1:25 - loss: 0.1226 - accuracy: 0.9580 Epoch 00004: accuracy did not improve from 0.96875 65/104 [=================>............] - ETA: 1:23 - loss: 0.1225 - accuracy: 0.9582 Epoch 00004: accuracy did not improve from 0.96875 66/104 [==================>...........] - ETA: 1:20 - loss: 0.1228 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 67/104 [==================>...........] - ETA: 1:18 - loss: 0.1214 - accuracy: 0.9590 Epoch 00004: accuracy did not improve from 0.96875 68/104 [==================>...........] - ETA: 1:16 - loss: 0.1232 - accuracy: 0.9586 Epoch 00004: accuracy did not improve from 0.96875 69/104 [==================>...........] - ETA: 1:14 - loss: 0.1221 - accuracy: 0.9592 Epoch 00004: accuracy did not improve from 0.96875 70/104 [===================>..........] - ETA: 1:12 - loss: 0.1221 - accuracy: 0.9589 Epoch 00004: accuracy did not improve from 0.96875 71/104 [===================>..........] - ETA: 1:10 - loss: 0.1220 - accuracy: 0.9591 Epoch 00004: accuracy did not improve from 0.96875 72/104 [===================>..........] - ETA: 1:08 - loss: 0.1226 - accuracy: 0.9588 Epoch 00004: accuracy did not improve from 0.96875 73/104 [====================>.........] - ETA: 1:06 - loss: 0.1216 - accuracy: 0.9593 Epoch 00004: accuracy did not improve from 0.96875 74/104 [====================>.........] - ETA: 1:03 - loss: 0.1220 - accuracy: 0.9590 Epoch 00004: accuracy did not improve from 0.96875 75/104 [====================>.........] - ETA: 1:01 - loss: 0.1232 - accuracy: 0.9592 Epoch 00004: accuracy did not improve from 0.96875 76/104 [====================>.........] - ETA: 59s - loss: 0.1226 - accuracy: 0.9589 Epoch 00004: accuracy did not improve from 0.96875 77/104 [=====================>........] - ETA: 57s - loss: 0.1229 - accuracy: 0.9586 Epoch 00004: accuracy did not improve from 0.96875 78/104 [=====================>........] - ETA: 55s - loss: 0.1236 - accuracy: 0.9579 Epoch 00004: accuracy did not improve from 0.96875 79/104 [=====================>........] - ETA: 53s - loss: 0.1244 - accuracy: 0.9581 Epoch 00004: accuracy did not improve from 0.96875 80/104 [======================>.......] - ETA: 51s - loss: 0.1236 - accuracy: 0.9586 Epoch 00004: accuracy did not improve from 0.96875 81/104 [======================>.......] - ETA: 48s - loss: 0.1227 - accuracy: 0.9591 Epoch 00004: accuracy did not improve from 0.96875 82/104 [======================>.......] - ETA: 46s - loss: 0.1232 - accuracy: 0.9585 Epoch 00004: accuracy did not improve from 0.96875 83/104 [======================>.......] - ETA: 44s - loss: 0.1237 - accuracy: 0.9586 Epoch 00004: accuracy did not improve from 0.96875 84/104 [=======================>......] - ETA: 42s - loss: 0.1236 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 85/104 [=======================>......] - ETA: 40s - loss: 0.1235 - accuracy: 0.9585 Epoch 00004: accuracy did not improve from 0.96875 86/104 [=======================>......] - ETA: 38s - loss: 0.1239 - accuracy: 0.9582 Epoch 00004: accuracy did not improve from 0.96875 87/104 [========================>.....] - ETA: 36s - loss: 0.1232 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 88/104 [========================>.....] - ETA: 34s - loss: 0.1235 - accuracy: 0.9581 Epoch 00004: accuracy did not improve from 0.96875 89/104 [========================>.....] - ETA: 31s - loss: 0.1248 - accuracy: 0.9579 Epoch 00004: accuracy did not improve from 0.96875 90/104 [========================>.....] - ETA: 29s - loss: 0.1239 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 91/104 [=========================>....] - ETA: 27s - loss: 0.1228 - accuracy: 0.9588 Epoch 00004: accuracy did not improve from 0.96875 92/104 [=========================>....] - ETA: 25s - loss: 0.1232 - accuracy: 0.9586 Epoch 00004: accuracy did not improve from 0.96875 93/104 [=========================>....] - ETA: 23s - loss: 0.1232 - accuracy: 0.9583 Epoch 00004: accuracy did not improve from 0.96875 94/104 [==========================>...] - ETA: 21s - loss: 0.1238 - accuracy: 0.9581 Epoch 00004: accuracy did not improve from 0.96875 95/104 [==========================>...] - ETA: 19s - loss: 0.1258 - accuracy: 0.9572 Epoch 00004: accuracy did not improve from 0.96875 96/104 [==========================>...] - ETA: 17s - loss: 0.1271 - accuracy: 0.9561 Epoch 00004: accuracy did not improve from 0.96875 97/104 [==========================>...] - ETA: 14s - loss: 0.1274 - accuracy: 0.9562 Epoch 00004: accuracy did not improve from 0.96875 98/104 [===========================>..] - ETA: 12s - loss: 0.1280 - accuracy: 0.9563 Epoch 00004: accuracy did not improve from 0.96875 99/104 [===========================>..] - ETA: 10s - loss: 0.1294 - accuracy: 0.9558 Epoch 00004: accuracy did not improve from 0.96875 100/104 [===========================>..] - ETA: 8s - loss: 0.1294 - accuracy: 0.9553 Epoch 00004: accuracy did not improve from 0.96875 101/104 [============================>.] - ETA: 6s - loss: 0.1287 - accuracy: 0.9554 Epoch 00004: accuracy did not improve from 0.96875 102/104 [============================>.] - ETA: 4s - loss: 0.1292 - accuracy: 0.9553 Epoch 00004: accuracy did not improve from 0.96875 103/104 [============================>.] - ETA: 2s - loss: 0.1283 - accuracy: 0.9557 Epoch 00004: accuracy did not improve from 0.96875 104/104 [==============================] - ETA: 0s - loss: 0.1293 - accuracy: 0.9555 Epoch 00004: accuracy did not improve from 0.96875 104/104 [==============================] - 233s 2s/step - loss: 0.1293 - accuracy: 0.9555 - val_loss: 0.9113 - val_accuracy: 0.7475 Epoch 5/40 1/104 [..............................] - ETA: 3:41 - loss: 0.0898 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.96875 2/104 [..............................] - ETA: 3:38 - loss: 0.0720 - accuracy: 0.9844 Epoch 00005: accuracy improved from 0.96875 to 0.98438, saving model to /tmp/checkpoint 3/104 [..............................] - ETA: 3:38 - loss: 0.1058 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 4/104 [>.............................] - ETA: 3:36 - loss: 0.0863 - accuracy: 0.9766 Epoch 00005: accuracy did not improve from 0.98438 5/104 [>.............................] - ETA: 3:34 - loss: 0.0805 - accuracy: 0.9812 Epoch 00005: accuracy did not improve from 0.98438 6/104 [>.............................] - ETA: 3:31 - loss: 0.1183 - accuracy: 0.9740 Epoch 00005: accuracy did not improve from 0.98438 7/104 [=>............................] - ETA: 3:29 - loss: 0.1107 - accuracy: 0.9732 Epoch 00005: accuracy did not improve from 0.98438 8/104 [=>............................] - ETA: 3:27 - loss: 0.1044 - accuracy: 0.9766 Epoch 00005: accuracy did not improve from 0.98438 9/104 [=>............................] - ETA: 3:25 - loss: 0.1092 - accuracy: 0.9722 Epoch 00005: accuracy did not improve from 0.98438 10/104 [=>............................] - ETA: 3:23 - loss: 0.1045 - accuracy: 0.9750 Epoch 00005: accuracy did not improve from 0.98438 11/104 [==>...........................] - ETA: 3:20 - loss: 0.1021 - accuracy: 0.9773 Epoch 00005: accuracy did not improve from 0.98438 12/104 [==>...........................] - ETA: 3:18 - loss: 0.1014 - accuracy: 0.9766 Epoch 00005: accuracy did not improve from 0.98438 13/104 [==>...........................] - ETA: 3:16 - loss: 0.0958 - accuracy: 0.9784 Epoch 00005: accuracy did not improve from 0.98438 14/104 [===>..........................] - ETA: 3:14 - loss: 0.0935 - accuracy: 0.9777 Epoch 00005: accuracy did not improve from 0.98438 15/104 [===>..........................] - ETA: 3:12 - loss: 0.0985 - accuracy: 0.9750 Epoch 00005: accuracy did not improve from 0.98438 16/104 [===>..........................] - ETA: 3:09 - loss: 0.1023 - accuracy: 0.9727 Epoch 00005: accuracy did not improve from 0.98438 17/104 [===>..........................] - ETA: 3:07 - loss: 0.1117 - accuracy: 0.9706 Epoch 00005: accuracy did not improve from 0.98438 18/104 [====>.........................] - ETA: 3:05 - loss: 0.1120 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 19/104 [====>.........................] - ETA: 3:03 - loss: 0.1172 - accuracy: 0.9671 Epoch 00005: accuracy did not improve from 0.98438 20/104 [====>.........................] - ETA: 3:01 - loss: 0.1147 - accuracy: 0.9672 Epoch 00005: accuracy did not improve from 0.98438 21/104 [=====>........................] - ETA: 2:59 - loss: 0.1112 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 22/104 [=====>........................] - ETA: 2:56 - loss: 0.1103 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 23/104 [=====>........................] - ETA: 2:54 - loss: 0.1106 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 24/104 [=====>........................] - ETA: 2:52 - loss: 0.1107 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 25/104 [======>.......................] - ETA: 2:50 - loss: 0.1095 - accuracy: 0.9700 Epoch 00005: accuracy did not improve from 0.98438 26/104 [======>.......................] - ETA: 2:48 - loss: 0.1079 - accuracy: 0.9712 Epoch 00005: accuracy did not improve from 0.98438 27/104 [======>.......................] - ETA: 2:46 - loss: 0.1080 - accuracy: 0.9699 Epoch 00005: accuracy did not improve from 0.98438 28/104 [=======>......................] - ETA: 2:43 - loss: 0.1060 - accuracy: 0.9710 Epoch 00005: accuracy did not improve from 0.98438 29/104 [=======>......................] - ETA: 2:41 - loss: 0.1076 - accuracy: 0.9698 Epoch 00005: accuracy did not improve from 0.98438 30/104 [=======>......................] - ETA: 2:39 - loss: 0.1087 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 31/104 [=======>......................] - ETA: 2:37 - loss: 0.1082 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 32/104 [========>.....................] - ETA: 2:35 - loss: 0.1073 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 33/104 [========>.....................] - ETA: 2:33 - loss: 0.1087 - accuracy: 0.9688 Epoch 00005: accuracy did not improve from 0.98438 34/104 [========>.....................] - ETA: 2:30 - loss: 0.1153 - accuracy: 0.9669 Epoch 00005: accuracy did not improve from 0.98438 35/104 [=========>....................] - ETA: 2:28 - loss: 0.1129 - accuracy: 0.9679 Epoch 00005: accuracy did not improve from 0.98438 36/104 [=========>....................] - ETA: 2:26 - loss: 0.1161 - accuracy: 0.9670 Epoch 00005: accuracy did not improve from 0.98438 37/104 [=========>....................] - ETA: 2:24 - loss: 0.1145 - accuracy: 0.9671 Epoch 00005: accuracy did not improve from 0.98438 38/104 [=========>....................] - ETA: 2:22 - loss: 0.1152 - accuracy: 0.9663 Epoch 00005: accuracy did not improve from 0.98438 39/104 [==========>...................] - ETA: 2:20 - loss: 0.1170 - accuracy: 0.9647 Epoch 00005: accuracy did not improve from 0.98438 40/104 [==========>...................] - ETA: 2:17 - loss: 0.1155 - accuracy: 0.9648 Epoch 00005: accuracy did not improve from 0.98438 41/104 [==========>...................] - ETA: 2:15 - loss: 0.1151 - accuracy: 0.9657 Epoch 00005: accuracy did not improve from 0.98438 42/104 [===========>..................] - ETA: 2:13 - loss: 0.1127 - accuracy: 0.9665 Epoch 00005: accuracy did not improve from 0.98438 43/104 [===========>..................] - ETA: 2:11 - loss: 0.1131 - accuracy: 0.9651 Epoch 00005: accuracy did not improve from 0.98438 44/104 [===========>..................] - ETA: 2:09 - loss: 0.1124 - accuracy: 0.9645 Epoch 00005: accuracy did not improve from 0.98438 45/104 [===========>..................] - ETA: 2:07 - loss: 0.1114 - accuracy: 0.9646 Epoch 00005: accuracy did not improve from 0.98438 46/104 [============>.................] - ETA: 2:05 - loss: 0.1097 - accuracy: 0.9654 Epoch 00005: accuracy did not improve from 0.98438 47/104 [============>.................] - ETA: 2:02 - loss: 0.1110 - accuracy: 0.9654 Epoch 00005: accuracy did not improve from 0.98438 48/104 [============>.................] - ETA: 2:00 - loss: 0.1091 - accuracy: 0.9661 Epoch 00005: accuracy did not improve from 0.98438 49/104 [=============>................] - ETA: 1:58 - loss: 0.1083 - accuracy: 0.9668 Epoch 00005: accuracy did not improve from 0.98438 50/104 [=============>................] - ETA: 1:56 - loss: 0.1107 - accuracy: 0.9656 Epoch 00005: accuracy did not improve from 0.98438 51/104 [=============>................] - ETA: 1:54 - loss: 0.1089 - accuracy: 0.9663 Epoch 00005: accuracy did not improve from 0.98438 52/104 [==============>...............] - ETA: 1:52 - loss: 0.1089 - accuracy: 0.9663 Epoch 00005: accuracy did not improve from 0.98438 53/104 [==============>...............] - ETA: 1:49 - loss: 0.1087 - accuracy: 0.9664 Epoch 00005: accuracy did not improve from 0.98438 54/104 [==============>...............] - ETA: 1:47 - loss: 0.1073 - accuracy: 0.9670 Epoch 00005: accuracy did not improve from 0.98438 55/104 [==============>...............] - ETA: 1:45 - loss: 0.1055 - accuracy: 0.9676 Epoch 00005: accuracy did not improve from 0.98438 56/104 [===============>..............] - ETA: 1:43 - loss: 0.1040 - accuracy: 0.9682 Epoch 00005: accuracy did not improve from 0.98438 57/104 [===============>..............] - ETA: 1:41 - loss: 0.1044 - accuracy: 0.9682 Epoch 00005: accuracy did not improve from 0.98438 58/104 [===============>..............] - ETA: 1:39 - loss: 0.1046 - accuracy: 0.9677 Epoch 00005: accuracy did not improve from 0.98438 59/104 [================>.............] - ETA: 1:37 - loss: 0.1045 - accuracy: 0.9677 Epoch 00005: accuracy did not improve from 0.98438 60/104 [================>.............] - ETA: 1:34 - loss: 0.1046 - accuracy: 0.9677 Epoch 00005: accuracy did not improve from 0.98438 61/104 [================>.............] - ETA: 1:32 - loss: 0.1033 - accuracy: 0.9682 Epoch 00005: accuracy did not improve from 0.98438 62/104 [================>.............] - ETA: 1:30 - loss: 0.1042 - accuracy: 0.9682 Epoch 00005: accuracy did not improve from 0.98438 63/104 [=================>............] - ETA: 1:28 - loss: 0.1045 - accuracy: 0.9678 Epoch 00005: accuracy did not improve from 0.98438 64/104 [=================>............] - ETA: 1:26 - loss: 0.1057 - accuracy: 0.9673 Epoch 00005: accuracy did not improve from 0.98438 65/104 [=================>............] - ETA: 1:24 - loss: 0.1046 - accuracy: 0.9678 Epoch 00005: accuracy did not improve from 0.98438 66/104 [==================>...........] - ETA: 1:21 - loss: 0.1039 - accuracy: 0.9678 Epoch 00005: accuracy did not improve from 0.98438 67/104 [==================>...........] - ETA: 1:19 - loss: 0.1039 - accuracy: 0.9678 Epoch 00005: accuracy did not improve from 0.98438 68/104 [==================>...........] - ETA: 1:17 - loss: 0.1045 - accuracy: 0.9669 Epoch 00005: accuracy did not improve from 0.98438 69/104 [==================>...........] - ETA: 1:15 - loss: 0.1048 - accuracy: 0.9669 Epoch 00005: accuracy did not improve from 0.98438 70/104 [===================>..........] - ETA: 1:13 - loss: 0.1080 - accuracy: 0.9670 Epoch 00005: accuracy did not improve from 0.98438 71/104 [===================>..........] - ETA: 1:11 - loss: 0.1097 - accuracy: 0.9657 Epoch 00005: accuracy did not improve from 0.98438 72/104 [===================>..........] - ETA: 1:09 - loss: 0.1095 - accuracy: 0.9653 Epoch 00005: accuracy did not improve from 0.98438 73/104 [====================>.........] - ETA: 1:06 - loss: 0.1088 - accuracy: 0.9658 Epoch 00005: accuracy did not improve from 0.98438 74/104 [====================>.........] - ETA: 1:04 - loss: 0.1083 - accuracy: 0.9658 Epoch 00005: accuracy did not improve from 0.98438 75/104 [====================>.........] - ETA: 1:02 - loss: 0.1078 - accuracy: 0.9663 Epoch 00005: accuracy did not improve from 0.98438 76/104 [====================>.........] - ETA: 1:00 - loss: 0.1087 - accuracy: 0.9663 Epoch 00005: accuracy did not improve from 0.98438 77/104 [=====================>........] - ETA: 58s - loss: 0.1128 - accuracy: 0.9647 Epoch 00005: accuracy did not improve from 0.98438 78/104 [=====================>........] - ETA: 56s - loss: 0.1125 - accuracy: 0.9647 Epoch 00005: accuracy did not improve from 0.98438 79/104 [=====================>........] - ETA: 53s - loss: 0.1129 - accuracy: 0.9644 Epoch 00005: accuracy did not improve from 0.98438 80/104 [======================>.......] - ETA: 51s - loss: 0.1129 - accuracy: 0.9648 Epoch 00005: accuracy did not improve from 0.98438 81/104 [======================>.......] - ETA: 49s - loss: 0.1132 - accuracy: 0.9645 Epoch 00005: accuracy did not improve from 0.98438 82/104 [======================>.......] - ETA: 47s - loss: 0.1138 - accuracy: 0.9642 Epoch 00005: accuracy did not improve from 0.98438 83/104 [======================>.......] - ETA: 45s - loss: 0.1138 - accuracy: 0.9642 Epoch 00005: accuracy did not improve from 0.98438 84/104 [=======================>......] - ETA: 43s - loss: 0.1128 - accuracy: 0.9647 Epoch 00005: accuracy did not improve from 0.98438 85/104 [=======================>......] - ETA: 40s - loss: 0.1119 - accuracy: 0.9651 Epoch 00005: accuracy did not improve from 0.98438 86/104 [=======================>......] - ETA: 38s - loss: 0.1123 - accuracy: 0.9648 Epoch 00005: accuracy did not improve from 0.98438 87/104 [========================>.....] - ETA: 36s - loss: 0.1114 - accuracy: 0.9652 Epoch 00005: accuracy did not improve from 0.98438 88/104 [========================>.....] - ETA: 34s - loss: 0.1116 - accuracy: 0.9648 Epoch 00005: accuracy did not improve from 0.98438 89/104 [========================>.....] - ETA: 32s - loss: 0.1110 - accuracy: 0.9649 Epoch 00005: accuracy did not improve from 0.98438 90/104 [========================>.....] - ETA: 30s - loss: 0.1109 - accuracy: 0.9649 Epoch 00005: accuracy did not improve from 0.98438 91/104 [=========================>....] - ETA: 28s - loss: 0.1103 - accuracy: 0.9650 Epoch 00005: accuracy did not improve from 0.98438 92/104 [=========================>....] - ETA: 25s - loss: 0.1095 - accuracy: 0.9654 Epoch 00005: accuracy did not improve from 0.98438 93/104 [=========================>....] - ETA: 23s - loss: 0.1095 - accuracy: 0.9654 Epoch 00005: accuracy did not improve from 0.98438 94/104 [==========================>...] - ETA: 21s - loss: 0.1093 - accuracy: 0.9654 Epoch 00005: accuracy did not improve from 0.98438 95/104 [==========================>...] - ETA: 19s - loss: 0.1088 - accuracy: 0.9658 Epoch 00005: accuracy did not improve from 0.98438 96/104 [==========================>...] - ETA: 17s - loss: 0.1090 - accuracy: 0.9655 Epoch 00005: accuracy did not improve from 0.98438 97/104 [==========================>...] - ETA: 15s - loss: 0.1097 - accuracy: 0.9655 Epoch 00005: accuracy did not improve from 0.98438 98/104 [===========================>..] - ETA: 12s - loss: 0.1094 - accuracy: 0.9656 Epoch 00005: accuracy did not improve from 0.98438 99/104 [===========================>..] - ETA: 10s - loss: 0.1087 - accuracy: 0.9659 Epoch 00005: accuracy did not improve from 0.98438 100/104 [===========================>..] - ETA: 8s - loss: 0.1091 - accuracy: 0.9659 Epoch 00005: accuracy did not improve from 0.98438 101/104 [============================>.] - ETA: 6s - loss: 0.1082 - accuracy: 0.9663 Epoch 00005: accuracy did not improve from 0.98438 102/104 [============================>.] - ETA: 4s - loss: 0.1085 - accuracy: 0.9660 Epoch 00005: accuracy did not improve from 0.98438 103/104 [============================>.] - ETA: 2s - loss: 0.1099 - accuracy: 0.9651 Epoch 00005: accuracy did not improve from 0.98438 104/104 [==============================] - ETA: 0s - loss: 0.1099 - accuracy: 0.9651 Epoch 00005: accuracy did not improve from 0.98438 104/104 [==============================] - 236s 2s/step - loss: 0.1099 - accuracy: 0.9651 - val_loss: 1.7759 - val_accuracy: 0.6059 Epoch 6/40 1/104 [..............................] - ETA: 3:57 - loss: 0.0575 - accuracy: 1.0000 Epoch 00006: accuracy improved from 0.98438 to 1.00000, saving model to /tmp/checkpoint 2/104 [..............................] - ETA: 3:45 - loss: 0.0407 - accuracy: 1.0000 Epoch 00006: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:41 - loss: 0.0373 - accuracy: 1.0000 Epoch 00006: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:38 - loss: 0.0337 - accuracy: 1.0000 Epoch 00006: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:35 - loss: 0.0332 - accuracy: 1.0000 Epoch 00006: accuracy did not improve from 1.00000 6/104 [>.............................] - ETA: 3:32 - loss: 0.0330 - accuracy: 1.0000 Epoch 00006: accuracy did not improve from 1.00000 7/104 [=>............................] - ETA: 3:30 - loss: 0.0335 - accuracy: 1.0000 Epoch 00006: accuracy did not improve from 1.00000 8/104 [=>............................] - ETA: 3:27 - loss: 0.0615 - accuracy: 0.9844 Epoch 00006: accuracy did not improve from 1.00000 9/104 [=>............................] - ETA: 3:25 - loss: 0.0623 - accuracy: 0.9826 Epoch 00006: accuracy did not improve from 1.00000 10/104 [=>............................] - ETA: 3:23 - loss: 0.0667 - accuracy: 0.9812 Epoch 00006: accuracy did not improve from 1.00000 11/104 [==>...........................] - ETA: 3:21 - loss: 0.0666 - accuracy: 0.9830 Epoch 00006: accuracy did not improve from 1.00000 12/104 [==>...........................] - ETA: 3:19 - loss: 0.0645 - accuracy: 0.9844 Epoch 00006: accuracy did not improve from 1.00000 13/104 [==>...........................] - ETA: 3:17 - loss: 0.0662 - accuracy: 0.9808 Epoch 00006: accuracy did not improve from 1.00000 14/104 [===>..........................] - ETA: 3:14 - loss: 0.0672 - accuracy: 0.9799 Epoch 00006: accuracy did not improve from 1.00000 15/104 [===>..........................] - ETA: 3:12 - loss: 0.0710 - accuracy: 0.9792 Epoch 00006: accuracy did not improve from 1.00000 16/104 [===>..........................] - ETA: 3:10 - loss: 0.0675 - accuracy: 0.9805 Epoch 00006: accuracy did not improve from 1.00000 17/104 [===>..........................] - ETA: 3:08 - loss: 0.0731 - accuracy: 0.9779 Epoch 00006: accuracy did not improve from 1.00000 18/104 [====>.........................] - ETA: 3:06 - loss: 0.0705 - accuracy: 0.9792 Epoch 00006: accuracy did not improve from 1.00000 19/104 [====>.........................] - ETA: 3:04 - loss: 0.0702 - accuracy: 0.9786 Epoch 00006: accuracy did not improve from 1.00000 20/104 [====>.........................] - ETA: 3:01 - loss: 0.0693 - accuracy: 0.9781 Epoch 00006: accuracy did not improve from 1.00000 21/104 [=====>........................] - ETA: 2:59 - loss: 0.0674 - accuracy: 0.9792 Epoch 00006: accuracy did not improve from 1.00000 22/104 [=====>........................] - ETA: 2:57 - loss: 0.0697 - accuracy: 0.9787 Epoch 00006: accuracy did not improve from 1.00000 23/104 [=====>........................] - ETA: 2:55 - loss: 0.0695 - accuracy: 0.9796 Epoch 00006: accuracy did not improve from 1.00000 24/104 [=====>........................] - ETA: 2:53 - loss: 0.0677 - accuracy: 0.9805 Epoch 00006: accuracy did not improve from 1.00000 25/104 [======>.......................] - ETA: 2:51 - loss: 0.0673 - accuracy: 0.9812 Epoch 00006: accuracy did not improve from 1.00000 26/104 [======>.......................] - ETA: 2:48 - loss: 0.0668 - accuracy: 0.9820 Epoch 00006: accuracy did not improve from 1.00000 27/104 [======>.......................] - ETA: 2:46 - loss: 0.0674 - accuracy: 0.9815 Epoch 00006: accuracy did not improve from 1.00000 28/104 [=======>......................] - ETA: 2:44 - loss: 0.0713 - accuracy: 0.9810 Epoch 00006: accuracy did not improve from 1.00000 29/104 [=======>......................] - ETA: 2:42 - loss: 0.0708 - accuracy: 0.9806 Epoch 00006: accuracy did not improve from 1.00000 30/104 [=======>......................] - ETA: 2:40 - loss: 0.0744 - accuracy: 0.9792 Epoch 00006: accuracy did not improve from 1.00000 31/104 [=======>......................] - ETA: 2:38 - loss: 0.0738 - accuracy: 0.9788 Epoch 00006: accuracy did not improve from 1.00000 32/104 [========>.....................] - ETA: 2:35 - loss: 0.0735 - accuracy: 0.9785 Epoch 00006: accuracy did not improve from 1.00000 33/104 [========>.....................] - ETA: 2:33 - loss: 0.0725 - accuracy: 0.9792 Epoch 00006: accuracy did not improve from 1.00000 34/104 [========>.....................] - ETA: 2:31 - loss: 0.0718 - accuracy: 0.9798 Epoch 00006: accuracy did not improve from 1.00000 35/104 [=========>....................] - ETA: 2:29 - loss: 0.0703 - accuracy: 0.9804 Epoch 00006: accuracy did not improve from 1.00000 36/104 [=========>....................] - ETA: 2:27 - loss: 0.0687 - accuracy: 0.9809 Epoch 00006: accuracy did not improve from 1.00000 37/104 [=========>....................] - ETA: 2:25 - loss: 0.0695 - accuracy: 0.9797 Epoch 00006: accuracy did not improve from 1.00000 38/104 [=========>....................] - ETA: 2:22 - loss: 0.0695 - accuracy: 0.9786 Epoch 00006: accuracy did not improve from 1.00000 39/104 [==========>...................] - ETA: 2:20 - loss: 0.0701 - accuracy: 0.9784 Epoch 00006: accuracy did not improve from 1.00000 40/104 [==========>...................] - ETA: 2:18 - loss: 0.0694 - accuracy: 0.9789 Epoch 00006: accuracy did not improve from 1.00000 41/104 [==========>...................] - ETA: 2:16 - loss: 0.0710 - accuracy: 0.9771 Epoch 00006: accuracy did not improve from 1.00000 42/104 [===========>..................] - ETA: 2:14 - loss: 0.0700 - accuracy: 0.9777 Epoch 00006: accuracy did not improve from 1.00000 43/104 [===========>..................] - ETA: 2:12 - loss: 0.0690 - accuracy: 0.9782 Epoch 00006: accuracy did not improve from 1.00000 44/104 [===========>..................] - ETA: 2:09 - loss: 0.0723 - accuracy: 0.9773 Epoch 00006: accuracy did not improve from 1.00000 45/104 [===========>..................] - ETA: 2:07 - loss: 0.0716 - accuracy: 0.9771 Epoch 00006: accuracy did not improve from 1.00000 46/104 [============>.................] - ETA: 2:05 - loss: 0.0705 - accuracy: 0.9776 Epoch 00006: accuracy did not improve from 1.00000 47/104 [============>.................] - ETA: 2:03 - loss: 0.0696 - accuracy: 0.9781 Epoch 00006: accuracy did not improve from 1.00000 48/104 [============>.................] - ETA: 2:01 - loss: 0.0703 - accuracy: 0.9779 Epoch 00006: accuracy did not improve from 1.00000 49/104 [=============>................] - ETA: 1:59 - loss: 0.0698 - accuracy: 0.9777 Epoch 00006: accuracy did not improve from 1.00000 50/104 [=============>................] - ETA: 1:56 - loss: 0.0698 - accuracy: 0.9775 Epoch 00006: accuracy did not improve from 1.00000 51/104 [=============>................] - ETA: 1:54 - loss: 0.0690 - accuracy: 0.9779 Epoch 00006: accuracy did not improve from 1.00000 52/104 [==============>...............] - ETA: 1:52 - loss: 0.0707 - accuracy: 0.9772 Epoch 00006: accuracy did not improve from 1.00000 53/104 [==============>...............] - ETA: 1:50 - loss: 0.0703 - accuracy: 0.9770 Epoch 00006: accuracy did not improve from 1.00000 54/104 [==============>...............] - ETA: 1:48 - loss: 0.0708 - accuracy: 0.9769 Epoch 00006: accuracy did not improve from 1.00000 55/104 [==============>...............] - ETA: 1:46 - loss: 0.0723 - accuracy: 0.9767 Epoch 00006: accuracy did not improve from 1.00000 56/104 [===============>..............] - ETA: 1:43 - loss: 0.0718 - accuracy: 0.9771 Epoch 00006: accuracy did not improve from 1.00000 57/104 [===============>..............] - ETA: 1:41 - loss: 0.0708 - accuracy: 0.9775 Epoch 00006: accuracy did not improve from 1.00000 58/104 [===============>..............] - ETA: 1:39 - loss: 0.0710 - accuracy: 0.9774 Epoch 00006: accuracy did not improve from 1.00000 59/104 [================>.............] - ETA: 1:37 - loss: 0.0723 - accuracy: 0.9772 Epoch 00006: accuracy did not improve from 1.00000 60/104 [================>.............] - ETA: 1:35 - loss: 0.0719 - accuracy: 0.9776 Epoch 00006: accuracy did not improve from 1.00000 61/104 [================>.............] - ETA: 1:33 - loss: 0.0718 - accuracy: 0.9775 Epoch 00006: accuracy did not improve from 1.00000 62/104 [================>.............] - ETA: 1:30 - loss: 0.0719 - accuracy: 0.9773 Epoch 00006: accuracy did not improve from 1.00000 63/104 [=================>............] - ETA: 1:28 - loss: 0.0728 - accuracy: 0.9767 Epoch 00006: accuracy did not improve from 1.00000 64/104 [=================>............] - ETA: 1:26 - loss: 0.0720 - accuracy: 0.9771 Epoch 00006: accuracy did not improve from 1.00000 65/104 [=================>............] - ETA: 1:24 - loss: 0.0717 - accuracy: 0.9774 Epoch 00006: accuracy did not improve from 1.00000 66/104 [==================>...........] - ETA: 1:22 - loss: 0.0716 - accuracy: 0.9768 Epoch 00006: accuracy did not improve from 1.00000 67/104 [==================>...........] - ETA: 1:20 - loss: 0.0711 - accuracy: 0.9771 Epoch 00006: accuracy did not improve from 1.00000 68/104 [==================>...........] - ETA: 1:17 - loss: 0.0714 - accuracy: 0.9770 Epoch 00006: accuracy did not improve from 1.00000 69/104 [==================>...........] - ETA: 1:15 - loss: 0.0717 - accuracy: 0.9769 Epoch 00006: accuracy did not improve from 1.00000 70/104 [===================>..........] - ETA: 1:13 - loss: 0.0715 - accuracy: 0.9772 Epoch 00006: accuracy did not improve from 1.00000 71/104 [===================>..........] - ETA: 1:11 - loss: 0.0719 - accuracy: 0.9771 Epoch 00006: accuracy did not improve from 1.00000 72/104 [===================>..........] - ETA: 1:09 - loss: 0.0720 - accuracy: 0.9770 Epoch 00006: accuracy did not improve from 1.00000 73/104 [====================>.........] - ETA: 1:07 - loss: 0.0718 - accuracy: 0.9773 Epoch 00006: accuracy did not improve from 1.00000 74/104 [====================>.........] - ETA: 1:04 - loss: 0.0717 - accuracy: 0.9772 Epoch 00006: accuracy did not improve from 1.00000 75/104 [====================>.........] - ETA: 1:02 - loss: 0.0712 - accuracy: 0.9775 Epoch 00006: accuracy did not improve from 1.00000 76/104 [====================>.........] - ETA: 1:00 - loss: 0.0712 - accuracy: 0.9774 Epoch 00006: accuracy did not improve from 1.00000 77/104 [=====================>........] - ETA: 58s - loss: 0.0707 - accuracy: 0.9777 Epoch 00006: accuracy did not improve from 1.00000 78/104 [=====================>........] - ETA: 56s - loss: 0.0705 - accuracy: 0.9780 Epoch 00006: accuracy did not improve from 1.00000 79/104 [=====================>........] - ETA: 54s - loss: 0.0706 - accuracy: 0.9778 Epoch 00006: accuracy did not improve from 1.00000 80/104 [======================>.......] - ETA: 51s - loss: 0.0702 - accuracy: 0.9781 Epoch 00006: accuracy did not improve from 1.00000 81/104 [======================>.......] - ETA: 49s - loss: 0.0703 - accuracy: 0.9780 Epoch 00006: accuracy did not improve from 1.00000 82/104 [======================>.......] - ETA: 47s - loss: 0.0710 - accuracy: 0.9779 Epoch 00006: accuracy did not improve from 1.00000 83/104 [======================>.......] - ETA: 45s - loss: 0.0706 - accuracy: 0.9782 Epoch 00006: accuracy did not improve from 1.00000 84/104 [=======================>......] - ETA: 43s - loss: 0.0720 - accuracy: 0.9777 Epoch 00006: accuracy did not improve from 1.00000 85/104 [=======================>......] - ETA: 41s - loss: 0.0714 - accuracy: 0.9779 Epoch 00006: accuracy did not improve from 1.00000 86/104 [=======================>......] - ETA: 38s - loss: 0.0715 - accuracy: 0.9778 Epoch 00006: accuracy did not improve from 1.00000 87/104 [========================>.....] - ETA: 36s - loss: 0.0726 - accuracy: 0.9774 Epoch 00006: accuracy did not improve from 1.00000 88/104 [========================>.....] - ETA: 34s - loss: 0.0735 - accuracy: 0.9769 Epoch 00006: accuracy did not improve from 1.00000 89/104 [========================>.....] - ETA: 32s - loss: 0.0732 - accuracy: 0.9772 Epoch 00006: accuracy did not improve from 1.00000 90/104 [========================>.....] - ETA: 30s - loss: 0.0748 - accuracy: 0.9767 Epoch 00006: accuracy did not improve from 1.00000 91/104 [=========================>....] - ETA: 28s - loss: 0.0748 - accuracy: 0.9766 Epoch 00006: accuracy did not improve from 1.00000 92/104 [=========================>....] - ETA: 25s - loss: 0.0760 - accuracy: 0.9759 Epoch 00006: accuracy did not improve from 1.00000 93/104 [=========================>....] - ETA: 23s - loss: 0.0774 - accuracy: 0.9751 Epoch 00006: accuracy did not improve from 1.00000 94/104 [==========================>...] - ETA: 21s - loss: 0.0783 - accuracy: 0.9744 Epoch 00006: accuracy did not improve from 1.00000 95/104 [==========================>...] - ETA: 19s - loss: 0.0784 - accuracy: 0.9743 Epoch 00006: accuracy did not improve from 1.00000 96/104 [==========================>...] - ETA: 17s - loss: 0.0781 - accuracy: 0.9746 Epoch 00006: accuracy did not improve from 1.00000 97/104 [==========================>...] - ETA: 15s - loss: 0.0781 - accuracy: 0.9745 Epoch 00006: accuracy did not improve from 1.00000 98/104 [===========================>..] - ETA: 12s - loss: 0.0840 - accuracy: 0.9732 Epoch 00006: accuracy did not improve from 1.00000 99/104 [===========================>..] - ETA: 10s - loss: 0.0841 - accuracy: 0.9729 Epoch 00006: accuracy did not improve from 1.00000 100/104 [===========================>..] - ETA: 8s - loss: 0.0855 - accuracy: 0.9722 Epoch 00006: accuracy did not improve from 1.00000 101/104 [============================>.] - ETA: 6s - loss: 0.0869 - accuracy: 0.9712 Epoch 00006: accuracy did not improve from 1.00000 102/104 [============================>.] - ETA: 4s - loss: 0.0866 - accuracy: 0.9712 Epoch 00006: accuracy did not improve from 1.00000 103/104 [============================>.] - ETA: 2s - loss: 0.0865 - accuracy: 0.9712 Epoch 00006: accuracy did not improve from 1.00000 104/104 [==============================] - ETA: 0s - loss: 0.0884 - accuracy: 0.9708 Epoch 00006: accuracy did not improve from 1.00000 104/104 [==============================] - 237s 2s/step - loss: 0.0884 - accuracy: 0.9708 - val_loss: 3.2226 - val_accuracy: 0.4628 Epoch 7/40 1/104 [..............................] - ETA: 3:47 - loss: 0.0151 - accuracy: 1.0000 Epoch 00007: accuracy did not improve from 1.00000 2/104 [..............................] - ETA: 3:44 - loss: 0.0186 - accuracy: 1.0000 Epoch 00007: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:43 - loss: 0.0539 - accuracy: 0.9792 Epoch 00007: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:39 - loss: 0.1071 - accuracy: 0.9688 Epoch 00007: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:36 - loss: 0.0873 - accuracy: 0.9750 Epoch 00007: accuracy did not improve from 1.00000 6/104 [>.............................] - ETA: 3:33 - loss: 0.0995 - accuracy: 0.9635 Epoch 00007: accuracy did not improve from 1.00000 7/104 [=>............................] - ETA: 3:31 - loss: 0.0914 - accuracy: 0.9688 Epoch 00007: accuracy did not improve from 1.00000 8/104 [=>............................] - ETA: 3:28 - loss: 0.0813 - accuracy: 0.9727 Epoch 00007: accuracy did not improve from 1.00000 9/104 [=>............................] - ETA: 3:26 - loss: 0.0790 - accuracy: 0.9757 Epoch 00007: accuracy did not improve from 1.00000 10/104 [=>............................] - ETA: 3:24 - loss: 0.0832 - accuracy: 0.9719 Epoch 00007: accuracy did not improve from 1.00000 11/104 [==>...........................] - ETA: 3:22 - loss: 0.0870 - accuracy: 0.9716 Epoch 00007: accuracy did not improve from 1.00000 12/104 [==>...........................] - ETA: 3:20 - loss: 0.0809 - accuracy: 0.9740 Epoch 00007: accuracy did not improve from 1.00000 13/104 [==>...........................] - ETA: 3:17 - loss: 0.0784 - accuracy: 0.9760 Epoch 00007: accuracy did not improve from 1.00000 14/104 [===>..........................] - ETA: 3:15 - loss: 0.0809 - accuracy: 0.9732 Epoch 00007: accuracy did not improve from 1.00000 15/104 [===>..........................] - ETA: 3:13 - loss: 0.0784 - accuracy: 0.9750 Epoch 00007: accuracy did not improve from 1.00000 16/104 [===>..........................] - 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ETA: 17s - loss: 0.0745 - accuracy: 0.9746 Epoch 00007: accuracy did not improve from 1.00000 97/104 [==========================>...] - ETA: 15s - loss: 0.0744 - accuracy: 0.9749 Epoch 00007: accuracy did not improve from 1.00000 98/104 [===========================>..] - ETA: 13s - loss: 0.0742 - accuracy: 0.9748 Epoch 00007: accuracy did not improve from 1.00000 99/104 [===========================>..] - ETA: 10s - loss: 0.0745 - accuracy: 0.9747 Epoch 00007: accuracy did not improve from 1.00000 100/104 [===========================>..] - ETA: 8s - loss: 0.0745 - accuracy: 0.9747 Epoch 00007: accuracy did not improve from 1.00000 101/104 [============================>.] - ETA: 6s - loss: 0.0765 - accuracy: 0.9740 Epoch 00007: accuracy did not improve from 1.00000 102/104 [============================>.] - ETA: 4s - loss: 0.0765 - accuracy: 0.9740 Epoch 00007: accuracy did not improve from 1.00000 103/104 [============================>.] - ETA: 2s - loss: 0.0765 - accuracy: 0.9739 Epoch 00007: accuracy did not improve from 1.00000 104/104 [==============================] - ETA: 0s - loss: 0.0781 - accuracy: 0.9735 Epoch 00007: accuracy did not improve from 1.00000 104/104 [==============================] - 238s 2s/step - loss: 0.0781 - accuracy: 0.9735 - val_loss: 0.7993 - val_accuracy: 0.7980 Epoch 8/40 1/104 [..............................] - ETA: 3:51 - loss: 0.0100 - accuracy: 1.0000 Epoch 00008: accuracy did not improve from 1.00000 2/104 [..............................] - ETA: 3:38 - loss: 0.0627 - accuracy: 0.9844 Epoch 00008: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:36 - loss: 0.0581 - accuracy: 0.9896 Epoch 00008: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:34 - loss: 0.0473 - accuracy: 0.9922 Epoch 00008: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:33 - loss: 0.0542 - accuracy: 0.9875 Epoch 00008: accuracy did not improve from 1.00000 6/104 [>.............................] - ETA: 3:31 - loss: 0.0504 - accuracy: 0.9896 Epoch 00008: accuracy did not improve from 1.00000 7/104 [=>............................] - 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ETA: 1:46 - loss: 0.0476 - accuracy: 0.9858 Epoch 00008: accuracy did not improve from 1.00000 56/104 [===============>..............] - ETA: 1:44 - loss: 0.0471 - accuracy: 0.9860 Epoch 00008: accuracy did not improve from 1.00000 57/104 [===============>..............] - ETA: 1:41 - loss: 0.0480 - accuracy: 0.9857 Epoch 00008: accuracy did not improve from 1.00000 58/104 [===============>..............] - ETA: 1:39 - loss: 0.0478 - accuracy: 0.9855 Epoch 00008: accuracy did not improve from 1.00000 59/104 [================>.............] - ETA: 1:37 - loss: 0.0483 - accuracy: 0.9852 Epoch 00008: accuracy did not improve from 1.00000 60/104 [================>.............] - ETA: 1:35 - loss: 0.0478 - accuracy: 0.9854 Epoch 00008: accuracy did not improve from 1.00000 61/104 [================>.............] - ETA: 1:33 - loss: 0.0480 - accuracy: 0.9851 Epoch 00008: accuracy did not improve from 1.00000 62/104 [================>.............] - ETA: 1:31 - loss: 0.0479 - accuracy: 0.9854 Epoch 00008: accuracy did not improve from 1.00000 63/104 [=================>............] - 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ETA: 2s - loss: 0.0445 - accuracy: 0.9854 Epoch 00008: accuracy did not improve from 1.00000 104/104 [==============================] - ETA: 0s - loss: 0.0449 - accuracy: 0.9853 Epoch 00008: accuracy did not improve from 1.00000 104/104 [==============================] - 237s 2s/step - loss: 0.0449 - accuracy: 0.9853 - val_loss: 2.1093 - val_accuracy: 0.6129 Epoch 9/40 1/104 [..............................] - ETA: 3:46 - loss: 0.0248 - accuracy: 1.0000 Epoch 00009: accuracy did not improve from 1.00000 2/104 [..............................] - ETA: 3:38 - loss: 0.0622 - accuracy: 0.9688 Epoch 00009: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:37 - loss: 0.0428 - accuracy: 0.9792 Epoch 00009: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:38 - loss: 0.0343 - accuracy: 0.9844 Epoch 00009: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:35 - loss: 0.0520 - accuracy: 0.9750 Epoch 00009: accuracy did not improve from 1.00000 6/104 [>.............................] - 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ETA: 3:16 - loss: 0.0606 - accuracy: 0.9760 Epoch 00010: accuracy did not improve from 1.00000 14/104 [===>..........................] - ETA: 3:14 - loss: 0.0656 - accuracy: 0.9754 Epoch 00010: accuracy did not improve from 1.00000 15/104 [===>..........................] - ETA: 3:12 - loss: 0.0652 - accuracy: 0.9750 Epoch 00010: accuracy did not improve from 1.00000 16/104 [===>..........................] - ETA: 3:10 - loss: 0.0640 - accuracy: 0.9766 Epoch 00010: accuracy did not improve from 1.00000 17/104 [===>..........................] - ETA: 3:08 - loss: 0.0612 - accuracy: 0.9779 Epoch 00010: accuracy did not improve from 1.00000 18/104 [====>.........................] - ETA: 3:06 - loss: 0.0686 - accuracy: 0.9774 Epoch 00010: accuracy did not improve from 1.00000 19/104 [====>.........................] - ETA: 3:03 - loss: 0.0669 - accuracy: 0.9770 Epoch 00010: accuracy did not improve from 1.00000 20/104 [====>.........................] - ETA: 3:01 - loss: 0.0639 - accuracy: 0.9781 Epoch 00010: accuracy did not improve from 1.00000 21/104 [=====>........................] - 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ETA: 2:33 - loss: 0.0354 - accuracy: 0.9926 Epoch 00013: accuracy did not improve from 1.00000 35/104 [=========>....................] - ETA: 2:31 - loss: 0.0365 - accuracy: 0.9920 Epoch 00013: accuracy did not improve from 1.00000 36/104 [=========>....................] - ETA: 2:29 - loss: 0.0398 - accuracy: 0.9913 Epoch 00013: accuracy did not improve from 1.00000 37/104 [=========>....................] - ETA: 2:27 - loss: 0.0392 - accuracy: 0.9916 Epoch 00013: accuracy did not improve from 1.00000 38/104 [=========>....................] - ETA: 2:24 - loss: 0.0384 - accuracy: 0.9918 Epoch 00013: accuracy did not improve from 1.00000 39/104 [==========>...................] - ETA: 2:22 - loss: 0.0380 - accuracy: 0.9920 Epoch 00013: accuracy did not improve from 1.00000 40/104 [==========>...................] - ETA: 2:20 - loss: 0.0387 - accuracy: 0.9914 Epoch 00013: accuracy did not improve from 1.00000 41/104 [==========>...................] - ETA: 2:18 - loss: 0.0381 - accuracy: 0.9916 Epoch 00013: accuracy did not improve from 1.00000 42/104 [===========>..................] - 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val_loss: 1.4942 - val_accuracy: 0.7167 Epoch 14/40 1/104 [..............................] - ETA: 3:47 - loss: 0.0029 - accuracy: 1.0000 Epoch 00014: accuracy did not improve from 1.00000 2/104 [..............................] - ETA: 3:42 - loss: 0.0200 - accuracy: 1.0000 Epoch 00014: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:42 - loss: 0.0172 - accuracy: 1.0000 Epoch 00014: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:39 - loss: 0.0183 - accuracy: 1.0000 Epoch 00014: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:37 - loss: 0.0169 - accuracy: 1.0000 Epoch 00014: accuracy did not improve from 1.00000 6/104 [>.............................] - ETA: 3:35 - loss: 0.0249 - accuracy: 0.9948 Epoch 00014: accuracy did not improve from 1.00000 7/104 [=>............................] - ETA: 3:33 - loss: 0.0221 - accuracy: 0.9955 Epoch 00014: accuracy did not improve from 1.00000 8/104 [=>............................] - 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ETA: 17s - loss: 0.0330 - accuracy: 0.9896 Epoch 00014: accuracy did not improve from 1.00000 97/104 [==========================>...] - ETA: 15s - loss: 0.0333 - accuracy: 0.9894 Epoch 00014: accuracy did not improve from 1.00000 98/104 [===========================>..] - ETA: 13s - loss: 0.0335 - accuracy: 0.9892 Epoch 00014: accuracy did not improve from 1.00000 99/104 [===========================>..] - ETA: 10s - loss: 0.0369 - accuracy: 0.9886 Epoch 00014: accuracy did not improve from 1.00000 100/104 [===========================>..] - ETA: 8s - loss: 0.0370 - accuracy: 0.9884 Epoch 00014: accuracy did not improve from 1.00000 101/104 [============================>.] - ETA: 6s - loss: 0.0368 - accuracy: 0.9886 Epoch 00014: accuracy did not improve from 1.00000 102/104 [============================>.] - ETA: 4s - loss: 0.0366 - accuracy: 0.9887 Epoch 00014: accuracy did not improve from 1.00000 103/104 [============================>.] - ETA: 2s - loss: 0.0363 - accuracy: 0.9888 Epoch 00014: accuracy did not improve from 1.00000 104/104 [==============================] - ETA: 0s - loss: 0.0371 - accuracy: 0.9886 Epoch 00014: accuracy did not improve from 1.00000 104/104 [==============================] - 240s 2s/step - loss: 0.0371 - accuracy: 0.9886 - val_loss: 9.2143 - val_accuracy: 0.2707 Epoch 15/40 1/104 [..............................] - ETA: 3:45 - loss: 0.0158 - accuracy: 1.0000 Epoch 00015: accuracy did not improve from 1.00000 2/104 [..............................] - ETA: 3:41 - loss: 0.0639 - accuracy: 0.9531 Epoch 00015: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:39 - loss: 0.0512 - accuracy: 0.9688 Epoch 00015: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:37 - loss: 0.0430 - accuracy: 0.9766 Epoch 00015: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:35 - loss: 0.0609 - accuracy: 0.9750 Epoch 00015: accuracy did not improve from 1.00000 6/104 [>.............................] - ETA: 3:33 - loss: 0.0555 - accuracy: 0.9740 Epoch 00015: accuracy did not improve from 1.00000 7/104 [=>............................] - 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ETA: 2s - loss: 0.0578 - accuracy: 0.9803 Epoch 00015: accuracy did not improve from 1.00000 104/104 [==============================] - ETA: 0s - loss: 0.0572 - accuracy: 0.9805 Epoch 00015: accuracy did not improve from 1.00000 104/104 [==============================] - 239s 2s/step - loss: 0.0572 - accuracy: 0.9805 - val_loss: 1.5914 - val_accuracy: 0.6760 Epoch 16/40 1/104 [..............................] - ETA: 3:44 - loss: 0.0358 - accuracy: 0.9688 Epoch 00016: accuracy did not improve from 1.00000 2/104 [..............................] - ETA: 3:40 - loss: 0.0385 - accuracy: 0.9844 Epoch 00016: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:39 - loss: 0.0267 - accuracy: 0.9896 Epoch 00016: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:37 - loss: 0.0272 - accuracy: 0.9922 Epoch 00016: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:35 - loss: 0.0237 - accuracy: 0.9937 Epoch 00016: accuracy did not improve from 1.00000 6/104 [>.............................] - 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ETA: 1:48 - loss: 0.0817 - accuracy: 0.9757 Epoch 00016: accuracy did not improve from 1.00000 55/104 [==============>...............] - ETA: 1:46 - loss: 0.0804 - accuracy: 0.9761 Epoch 00016: accuracy did not improve from 1.00000 56/104 [===============>..............] - ETA: 1:44 - loss: 0.0799 - accuracy: 0.9760 Epoch 00016: accuracy did not improve from 1.00000 57/104 [===============>..............] - ETA: 1:42 - loss: 0.0786 - accuracy: 0.9764 Epoch 00016: accuracy did not improve from 1.00000 58/104 [===============>..............] - ETA: 1:40 - loss: 0.0778 - accuracy: 0.9768 Epoch 00016: accuracy did not improve from 1.00000 59/104 [================>.............] - ETA: 1:37 - loss: 0.0766 - accuracy: 0.9772 Epoch 00016: accuracy did not improve from 1.00000 60/104 [================>.............] - ETA: 1:35 - loss: 0.0763 - accuracy: 0.9771 Epoch 00016: accuracy did not improve from 1.00000 61/104 [================>.............] - ETA: 1:33 - loss: 0.0769 - accuracy: 0.9769 Epoch 00016: accuracy did not improve from 1.00000 62/104 [================>.............] - 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ETA: 1:13 - loss: 0.0749 - accuracy: 0.9777 Epoch 00016: accuracy did not improve from 1.00000 71/104 [===================>..........] - ETA: 1:11 - loss: 0.0755 - accuracy: 0.9771 Epoch 00016: accuracy did not improve from 1.00000 72/104 [===================>..........] - ETA: 1:09 - loss: 0.0770 - accuracy: 0.9766 Epoch 00016: accuracy did not improve from 1.00000 73/104 [====================>.........] - ETA: 1:07 - loss: 0.0776 - accuracy: 0.9765 Epoch 00016: accuracy did not improve from 1.00000 74/104 [====================>.........] - ETA: 1:05 - loss: 0.0767 - accuracy: 0.9768 Epoch 00016: accuracy did not improve from 1.00000 75/104 [====================>.........] - ETA: 1:03 - loss: 0.0759 - accuracy: 0.9771 Epoch 00016: accuracy did not improve from 1.00000 76/104 [====================>.........] - ETA: 1:00 - loss: 0.0752 - accuracy: 0.9774 Epoch 00016: accuracy did not improve from 1.00000 77/104 [=====================>........] - ETA: 58s - loss: 0.0749 - accuracy: 0.9777 Epoch 00016: accuracy did not improve from 1.00000 78/104 [=====================>........] - ETA: 56s - loss: 0.0756 - accuracy: 0.9776 Epoch 00016: accuracy did not improve from 1.00000 79/104 [=====================>........] - ETA: 54s - loss: 0.0757 - accuracy: 0.9775 Epoch 00016: accuracy did not improve from 1.00000 80/104 [======================>.......] - ETA: 52s - loss: 0.0758 - accuracy: 0.9773 Epoch 00016: accuracy did not improve from 1.00000 81/104 [======================>.......] - ETA: 49s - loss: 0.0756 - accuracy: 0.9772 Epoch 00016: accuracy did not improve from 1.00000 82/104 [======================>.......] - ETA: 47s - loss: 0.0747 - accuracy: 0.9775 Epoch 00016: accuracy did not improve from 1.00000 83/104 [======================>.......] - ETA: 45s - loss: 0.0753 - accuracy: 0.9774 Epoch 00016: accuracy did not improve from 1.00000 84/104 [=======================>......] - ETA: 43s - loss: 0.0747 - accuracy: 0.9777 Epoch 00016: accuracy did not improve from 1.00000 85/104 [=======================>......] - ETA: 41s - loss: 0.0743 - accuracy: 0.9779 Epoch 00016: accuracy did not improve from 1.00000 86/104 [=======================>......] - ETA: 39s - loss: 0.0743 - accuracy: 0.9778 Epoch 00016: accuracy did not improve from 1.00000 87/104 [========================>.....] - ETA: 36s - loss: 0.0774 - accuracy: 0.9763 Epoch 00016: accuracy did not improve from 1.00000 88/104 [========================>.....] - ETA: 34s - loss: 0.0778 - accuracy: 0.9762 Epoch 00016: accuracy did not improve from 1.00000 89/104 [========================>.....] - ETA: 32s - loss: 0.0773 - accuracy: 0.9765 Epoch 00016: accuracy did not improve from 1.00000 90/104 [========================>.....] - ETA: 30s - loss: 0.0766 - accuracy: 0.9767 Epoch 00016: accuracy did not improve from 1.00000 91/104 [=========================>....] - ETA: 28s - loss: 0.0765 - accuracy: 0.9766 Epoch 00016: accuracy did not improve from 1.00000 92/104 [=========================>....] - ETA: 26s - loss: 0.0757 - accuracy: 0.9769 Epoch 00016: accuracy did not improve from 1.00000 93/104 [=========================>....] - ETA: 24s - loss: 0.0756 - accuracy: 0.9768 Epoch 00016: accuracy did not improve from 1.00000 94/104 [==========================>...] - ETA: 21s - loss: 0.0753 - accuracy: 0.9767 Epoch 00016: accuracy did not improve from 1.00000 95/104 [==========================>...] - ETA: 19s - loss: 0.0779 - accuracy: 0.9763 Epoch 00016: accuracy did not improve from 1.00000 96/104 [==========================>...] - ETA: 17s - loss: 0.0773 - accuracy: 0.9766 Epoch 00016: accuracy did not improve from 1.00000 97/104 [==========================>...] - ETA: 15s - loss: 0.0769 - accuracy: 0.9768 Epoch 00016: accuracy did not improve from 1.00000 98/104 [===========================>..] - ETA: 13s - loss: 0.0769 - accuracy: 0.9767 Epoch 00016: accuracy did not improve from 1.00000 99/104 [===========================>..] - ETA: 10s - loss: 0.0765 - accuracy: 0.9766 Epoch 00016: accuracy did not improve from 1.00000 100/104 [===========================>..] - ETA: 8s - loss: 0.0781 - accuracy: 0.9759 Epoch 00016: accuracy did not improve from 1.00000 101/104 [============================>.] - ETA: 6s - loss: 0.0774 - accuracy: 0.9762 Epoch 00016: accuracy did not improve from 1.00000 102/104 [============================>.] - ETA: 4s - loss: 0.0769 - accuracy: 0.9761 Epoch 00016: accuracy did not improve from 1.00000 103/104 [============================>.] - ETA: 2s - loss: 0.0782 - accuracy: 0.9757 Epoch 00016: accuracy did not improve from 1.00000 104/104 [==============================] - ETA: 0s - loss: 0.0778 - accuracy: 0.9760 Epoch 00016: accuracy did not improve from 1.00000 104/104 [==============================] - 239s 2s/step - loss: 0.0778 - accuracy: 0.9760 - val_loss: 2.2095 - val_accuracy: 0.6396 Epoch 17/40 1/104 [..............................] - ETA: 3:56 - loss: 0.0039 - accuracy: 1.0000 Epoch 00017: accuracy did not improve from 1.00000 2/104 [..............................] - ETA: 3:44 - loss: 0.0130 - accuracy: 1.0000 Epoch 00017: accuracy did not improve from 1.00000 3/104 [..............................] - ETA: 3:40 - loss: 0.0188 - accuracy: 1.0000 Epoch 00017: accuracy did not improve from 1.00000 4/104 [>.............................] - ETA: 3:38 - loss: 0.0265 - accuracy: 0.9922 Epoch 00017: accuracy did not improve from 1.00000 5/104 [>.............................] - ETA: 3:36 - loss: 0.0782 - accuracy: 0.9812 Epoch 00017: accuracy did not improve from 1.00000 6/104 [>.............................] - ETA: 3:34 - loss: 0.0661 - accuracy: 0.9844 Epoch 00017: accuracy did not improve from 1.00000 7/104 [=>............................] - ETA: 3:32 - loss: 0.0581 - accuracy: 0.9866 Epoch 00017: accuracy did not improve from 1.00000 8/104 [=>............................] - ETA: 3:30 - loss: 0.0597 - accuracy: 0.9805 Epoch 00017: accuracy did not improve from 1.00000 9/104 [=>............................] - ETA: 3:27 - loss: 0.0674 - accuracy: 0.9792 Epoch 00017: accuracy did not improve from 1.00000 10/104 [=>............................] - ETA: 3:25 - loss: 0.0645 - accuracy: 0.9812 Epoch 00017: accuracy did not improve from 1.00000 11/104 [==>...........................] - ETA: 3:23 - loss: 0.0643 - accuracy: 0.9801 Epoch 00017: accuracy did not improve from 1.00000 12/104 [==>...........................] - ETA: 3:21 - loss: 0.0610 - accuracy: 0.9792 Epoch 00017: accuracy did not improve from 1.00000 13/104 [==>...........................] - ETA: 3:18 - loss: 0.0597 - accuracy: 0.9784 Epoch 00017: accuracy did not improve from 1.00000 14/104 [===>..........................] - ETA: 3:16 - loss: 0.0703 - accuracy: 0.9754 Epoch 00017: accuracy did not improve from 1.00000 15/104 [===>..........................] - ETA: 3:14 - loss: 0.0672 - accuracy: 0.9771 Epoch 00017: accuracy did not improve from 1.00000 16/104 [===>..........................] - ETA: 3:12 - loss: 0.0634 - accuracy: 0.9785 Epoch 00017: accuracy did not improve from 1.00000 17/104 [===>..........................] - ETA: 3:09 - loss: 0.0607 - accuracy: 0.9798 Epoch 00017: accuracy did not improve from 1.00000 18/104 [====>.........................] - ETA: 3:07 - loss: 0.0666 - accuracy: 0.9792 Epoch 00017: accuracy did not improve from 1.00000 19/104 [====>.........................] - ETA: 3:05 - loss: 0.0658 - accuracy: 0.9803 Epoch 00017: accuracy did not improve from 1.00000 20/104 [====>.........................] - ETA: 3:03 - loss: 0.0735 - accuracy: 0.9766 Epoch 00017: accuracy did not improve from 1.00000 21/104 [=====>........................] - 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ETA: 2:26 - loss: 0.0610 - accuracy: 0.9797 Epoch 00017: accuracy did not improve from 1.00000 38/104 [=========>....................] - ETA: 2:23 - loss: 0.0602 - accuracy: 0.9803 Epoch 00017: accuracy did not improve from 1.00000 39/104 [==========>...................] - ETA: 2:21 - loss: 0.0651 - accuracy: 0.9800 Epoch 00017: accuracy did not improve from 1.00000 40/104 [==========>...................] - ETA: 2:19 - loss: 0.0636 - accuracy: 0.9805 Epoch 00017: accuracy did not improve from 1.00000 41/104 [==========>...................] - ETA: 2:17 - loss: 0.0627 - accuracy: 0.9802 Epoch 00017: accuracy did not improve from 1.00000 42/104 [===========>..................] - ETA: 2:15 - loss: 0.0617 - accuracy: 0.9807 Epoch 00017: accuracy did not improve from 1.00000 43/104 [===========>..................] - ETA: 2:13 - loss: 0.0605 - accuracy: 0.9811 Epoch 00017: accuracy did not improve from 1.00000 44/104 [===========>..................] - ETA: 2:10 - loss: 0.0597 - accuracy: 0.9815 Epoch 00017: accuracy did not improve from 1.00000 45/104 [===========>..................] - ETA: 2:08 - loss: 0.0592 - accuracy: 0.9812 Epoch 00017: accuracy did not improve from 1.00000 46/104 [============>.................] - ETA: 2:06 - loss: 0.0591 - accuracy: 0.9810 Epoch 00017: accuracy did not improve from 1.00000 47/104 [============>.................] - ETA: 2:04 - loss: 0.0593 - accuracy: 0.9807 Epoch 00017: accuracy did not improve from 1.00000 48/104 [============>.................] - ETA: 2:02 - loss: 0.0581 - accuracy: 0.9811 Epoch 00017: accuracy did not improve from 1.00000 49/104 [=============>................] - ETA: 1:59 - loss: 0.0578 - accuracy: 0.9815 Epoch 00017: accuracy did not improve from 1.00000 50/104 [=============>................] - ETA: 1:57 - loss: 0.0567 - accuracy: 0.9819 Epoch 00017: accuracy did not improve from 1.00000 51/104 [=============>................] - ETA: 1:55 - loss: 0.0559 - accuracy: 0.9822 Epoch 00017: accuracy did not improve from 1.00000 52/104 [==============>...............] - ETA: 1:53 - loss: 0.0549 - accuracy: 0.9826 Epoch 00017: accuracy did not improve from 1.00000 53/104 [==============>...............] - ETA: 1:51 - loss: 0.0557 - accuracy: 0.9823 Epoch 00017: accuracy did not improve from 1.00000 54/104 [==============>...............] - ETA: 1:48 - loss: 0.0555 - accuracy: 0.9821 Epoch 00017: accuracy did not improve from 1.00000 55/104 [==============>...............] - ETA: 1:46 - loss: 0.0549 - accuracy: 0.9824 Epoch 00017: accuracy did not improve from 1.00000 56/104 [===============>..............] - ETA: 1:44 - loss: 0.0578 - accuracy: 0.9816 Epoch 00017: accuracy did not improve from 1.00000 57/104 [===============>..............] - ETA: 1:42 - loss: 0.0572 - accuracy: 0.9819 Epoch 00017: accuracy did not improve from 1.00000 58/104 [===============>..............] - ETA: 1:40 - loss: 0.0565 - accuracy: 0.9822 Epoch 00017: accuracy did not improve from 1.00000 59/104 [================>.............] - ETA: 1:38 - loss: 0.0556 - accuracy: 0.9825 Epoch 00017: accuracy did not improve from 1.00000 60/104 [================>.............] - ETA: 1:35 - loss: 0.0557 - accuracy: 0.9823 Epoch 00017: accuracy did not improve from 1.00000 61/104 [================>.............] - ETA: 1:33 - loss: 0.0551 - accuracy: 0.9826 Epoch 00017: accuracy did not improve from 1.00000 62/104 [================>.............] - ETA: 1:31 - loss: 0.0543 - accuracy: 0.9829 Epoch 00017: accuracy did not improve from 1.00000 63/104 [=================>............] - ETA: 1:29 - loss: 0.0535 - accuracy: 0.9831 Epoch 00017: accuracy did not improve from 1.00000 64/104 [=================>............] - ETA: 1:27 - loss: 0.0527 - accuracy: 0.9834 Epoch 00017: accuracy did not improve from 1.00000 65/104 [=================>............] - ETA: 1:24 - loss: 0.0525 - accuracy: 0.9832 Epoch 00017: accuracy did not improve from 1.00000 66/104 [==================>...........] - ETA: 1:22 - loss: 0.0519 - accuracy: 0.9834 Epoch 00017: accuracy did not improve from 1.00000 67/104 [==================>...........] - ETA: 1:20 - loss: 0.0516 - accuracy: 0.9832 Epoch 00017: accuracy did not improve from 1.00000 68/104 [==================>...........] - ETA: 1:18 - loss: 0.0511 - accuracy: 0.9835 Epoch 00017: accuracy did not improve from 1.00000 69/104 [==================>...........] - ETA: 1:16 - loss: 0.0521 - accuracy: 0.9828 Epoch 00017: accuracy did not improve from 1.00000 70/104 [===================>..........] - ETA: 1:14 - loss: 0.0517 - accuracy: 0.9830 Epoch 00017: accuracy did not improve from 1.00000 71/104 [===================>..........] - ETA: 1:11 - loss: 0.0511 - accuracy: 0.9833 Epoch 00017: accuracy did not improve from 1.00000 72/104 [===================>..........] - ETA: 1:09 - loss: 0.0510 - accuracy: 0.9831 Epoch 00017: accuracy did not improve from 1.00000 73/104 [====================>.........] - ETA: 1:07 - loss: 0.0512 - accuracy: 0.9829 Epoch 00017: accuracy did not improve from 1.00000 74/104 [====================>.........] - ETA: 1:05 - loss: 0.0519 - accuracy: 0.9827 Epoch 00017: accuracy did not improve from 1.00000 75/104 [====================>.........] - ETA: 1:03 - loss: 0.0519 - accuracy: 0.9825 Epoch 00017: accuracy did not improve from 1.00000 76/104 [====================>.........] - ETA: 1:01 - loss: 0.0517 - accuracy: 0.9827 Epoch 00017: accuracy did not improve from 1.00000 77/104 [=====================>........] - ETA: 58s - loss: 0.0512 - accuracy: 0.9830 Epoch 00017: accuracy did not improve from 1.00000 78/104 [=====================>........] - ETA: 56s - loss: 0.0509 - accuracy: 0.9832 Epoch 00017: accuracy did not improve from 1.00000 79/104 [=====================>........] - ETA: 54s - loss: 0.0513 - accuracy: 0.9830 Epoch 00017: accuracy did not improve from 1.00000 80/104 [======================>.......] - ETA: 52s - loss: 0.0507 - accuracy: 0.9832 Epoch 00017: accuracy did not improve from 1.00000 81/104 [======================>.......] - ETA: 50s - loss: 0.0540 - accuracy: 0.9815 Epoch 00017: accuracy did not improve from 1.00000 82/104 [======================>.......] - ETA: 47s - loss: 0.0534 - accuracy: 0.9817 Epoch 00017: accuracy did not improve from 1.00000 83/104 [======================>.......] - ETA: 45s - loss: 0.0530 - accuracy: 0.9819 Epoch 00017: accuracy did not improve from 1.00000 84/104 [=======================>......] - ETA: 43s - loss: 0.0525 - accuracy: 0.9821 Epoch 00017: accuracy did not improve from 1.00000 85/104 [=======================>......] - ETA: 41s - loss: 0.0534 - accuracy: 0.9816 Epoch 00017: accuracy did not improve from 1.00000 86/104 [=======================>......] - ETA: 39s - loss: 0.0530 - accuracy: 0.9818 Epoch 00017: accuracy did not improve from 1.00000 87/104 [========================>.....] - ETA: 37s - loss: 0.0534 - accuracy: 0.9817 Epoch 00017: accuracy did not improve from 1.00000 88/104 [========================>.....] - ETA: 34s - loss: 0.0546 - accuracy: 0.9812 Epoch 00017: accuracy did not improve from 1.00000 89/104 [========================>.....] - ETA: 32s - loss: 0.0554 - accuracy: 0.9810 Epoch 00017: accuracy did not improve from 1.00000 90/104 [========================>.....] - ETA: 30s - loss: 0.0549 - accuracy: 0.9812 Epoch 00017: accuracy did not improve from 1.00000 91/104 [=========================>....] - ETA: 28s - loss: 0.0560 - accuracy: 0.9811 Epoch 00017: accuracy did not improve from 1.00000 92/104 [=========================>....] - ETA: 26s - loss: 0.0558 - accuracy: 0.9813 Epoch 00017: accuracy did not improve from 1.00000 93/104 [=========================>....] - ETA: 23s - loss: 0.0561 - accuracy: 0.9812 Epoch 00017: accuracy did not improve from 1.00000 94/104 [==========================>...] - ETA: 21s - loss: 0.0571 - accuracy: 0.9804 Epoch 00017: accuracy did not improve from 1.00000 95/104 [==========================>...] - ETA: 19s - loss: 0.0565 - accuracy: 0.9806 Epoch 00017: accuracy did not improve from 1.00000 96/104 [==========================>...] - ETA: 17s - loss: 0.0560 - accuracy: 0.9808 Epoch 00017: accuracy did not improve from 1.00000 97/104 [==========================>...] - ETA: 15s - loss: 0.0563 - accuracy: 0.9807 Epoch 00017: accuracy did not improve from 1.00000 98/104 [===========================>..] - ETA: 13s - loss: 0.0562 - accuracy: 0.9805 Epoch 00017: accuracy did not improve from 1.00000 99/104 [===========================>..] - ETA: 10s - loss: 0.0562 - accuracy: 0.9804 Epoch 00017: accuracy did not improve from 1.00000 100/104 [===========================>..] - ETA: 8s - loss: 0.0557 - accuracy: 0.9806 Epoch 00017: accuracy did not improve from 1.00000 101/104 [============================>.] - ETA: 6s - loss: 0.0566 - accuracy: 0.9799 Epoch 00017: accuracy did not improve from 1.00000 102/104 [============================>.] - ETA: 4s - loss: 0.0561 - accuracy: 0.9801 Epoch 00017: accuracy did not improve from 1.00000 103/104 [============================>.] - ETA: 2s - loss: 0.0556 - accuracy: 0.9803 Epoch 00017: accuracy did not improve from 1.00000 104/104 [==============================] - ETA: 0s - loss: 0.0553 - accuracy: 0.9805 Epoch 00017: accuracy did not improve from 1.00000 104/104 [==============================] - 239s 2s/step - loss: 0.0553 - accuracy: 0.9805 - val_loss: 3.6000 - val_accuracy: 0.5091
Evaluate Model
plt.plot(history.history['accuracy'], label='train')
plt.plot(history.history['val_accuracy'], label='val')
plt.legend()
plt.show()
scores = model.evaluate(X_test, y_test, verbose=1)
print('Test loss:', scores[0])
print('Test accuracy:', scores[1])
23/23 [==============================] - 12s 501ms/step - loss: 3.5066 - accuracy: 0.5161 Test loss: 3.5066261291503906 Test accuracy: 0.5161290168762207
model.predict(X_test)
array([[5.99364996e-01, 3.63414192e-15, 8.90734064e-09, ...,
1.04909029e-13, 1.20048806e-11, 5.03962383e-06],
[9.52449369e-11, 6.38363866e-17, 2.01464583e-12, ...,
3.07628163e-13, 1.42433496e-11, 1.52546249e-06],
[2.90294829e-05, 3.33100930e-02, 3.39594949e-03, ...,
7.63530579e-07, 4.92129963e-08, 5.91036916e-01],
...,
[9.99982834e-01, 1.53937712e-18, 5.94155697e-11, ...,
1.90073228e-14, 7.89099797e-13, 1.33326816e-09],
[9.91294980e-01, 7.44360272e-15, 5.27143129e-12, ...,
1.83505433e-13, 9.08287405e-15, 1.09782478e-11],
[1.27300216e-13, 2.68710713e-21, 2.84205033e-14, ...,
5.56476116e-14, 5.80019886e-12, 1.65396816e-08]], dtype=float32)
model.predict(X_test[:4])
array([[5.99364758e-01, 3.63414065e-15, 8.90737084e-09, 7.07806591e-11,
1.65583522e-04, 2.94740498e-03, 3.97517234e-01, 4.31604622e-14,
1.37422074e-10, 1.04909184e-13, 1.20048763e-11, 5.03963656e-06],
[9.52451173e-11, 6.38366248e-17, 2.01464583e-12, 9.17055494e-12,
1.16640286e-13, 9.99998450e-01, 5.78975146e-10, 6.32384475e-17,
4.49181525e-11, 3.07628163e-13, 1.42433773e-11, 1.52546249e-06],
[2.90294702e-05, 3.33100334e-02, 3.39595135e-03, 1.18102971e-05,
1.26011830e-04, 3.71876955e-01, 1.33585359e-04, 1.46388246e-07,
7.90794875e-05, 7.63529613e-07, 4.92129750e-08, 5.91036677e-01],
[3.28431571e-09, 1.25655442e-09, 9.99896646e-01, 1.81090562e-13,
3.78191908e-05, 1.29786812e-07, 3.83355223e-11, 8.49723304e-21,
1.62319008e-12, 6.45362127e-14, 3.67998987e-14, 6.54659671e-05]],
dtype=float32)
y_test[:4]
array([[0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]])
predictions = np.round(model.predict(X_test), 0)
print('Rounded Test Labels:\n', predictions)
Rounded Test Labels: [[1. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 1.] ... [1. 0. 0. ... 0. 0. 0.] [1. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 0.]]
classification_metrics = metrics.classification_report(y_test, predictions, target_names = class_names)
print(classification_metrics)
precision recall f1-score support
Black-grass 0.33 0.63 0.43 38
Charlock 0.93 0.46 0.62 56
Cleavers 0.75 0.75 0.75 53
Common Chickweed 0.91 0.45 0.60 92
Common wheat 0.55 0.26 0.35 42
Fat Hen 0.20 0.60 0.30 60
Loose Silky-bent 0.56 0.76 0.64 100
Maize 1.00 0.15 0.26 40
Scentless Mayweed 0.83 0.28 0.42 72
Shepherds Purse 0.38 0.25 0.30 32
Small-flowered Cranesbill 1.00 0.44 0.61 70
Sugar beet 0.56 0.78 0.65 58
micro avg 0.52 0.51 0.52 713
macro avg 0.67 0.48 0.50 713
weighted avg 0.69 0.51 0.53 713
samples avg 0.51 0.51 0.51 713
/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in samples with no predicted labels. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, msg_start, len(result))
categorical_test_labels = pd.DataFrame(y_test).idxmax(axis=1)
categorical_preds = pd.DataFrame(predictions).idxmax(axis=1)
Confusion Matrix
def plot_confusion_matrix(cm, classes, normalize= False, title= 'Confusion Matrix', cmap= plt.cm.Blues):
cm = cm.astype(float) / cm.sum(axis=1)[:, np.newaxis]
plt.figure(figsize=(10, 12))
sns.heatmap(cm, annot = True, fmt = '.2f', xticklabels = class_names, yticklabels = class_names, cmap= plt.cm.Blues)
plt.title('CONFUSION MATRIX')
plt.ylabel('Observed')
plt.xlabel('Predicted')
plt.show()
plot_confusion_matrix(confusion_matrix, class_names)
Visualize Predictions
visualize_predictions = [2, 3, 33, 36, 59]
for i in visualize_predictions:
print('X_test[', i, '] Visualized:')
print()
print('Predicted: ', categorical_preds[i])
print('Actual:', categorical_test_labels[i])
print(y_test[i])
plt.imshow(X_test[i]);
plt.show()
print()
print()
X_test[ 2 ] Visualized: Predicted: 11 Actual: 1 [0 1 0 0 0 0 0 0 0 0 0 0]
X_test[ 3 ] Visualized: Predicted: 2 Actual: 2 [0 0 1 0 0 0 0 0 0 0 0 0]
X_test[ 33 ] Visualized: Predicted: 0 Actual: 11 [0 0 0 0 0 0 0 0 0 0 0 1]
X_test[ 36 ] Visualized: Predicted: 6 Actual: 5 [0 0 0 0 0 1 0 0 0 0 0 0]
X_test[ 59 ] Visualized: Predicted: 6 Actual: 6 [0 0 0 0 0 0 1 0 0 0 0 0]
